Every paper checked — nothing hidden

All papers

Every paper checked for brief #4 of 12–19 Oct 2026 — nothing is hidden. Brief papers first.

All17,313 In brief24 More (on-topic)3,333 Not relevant13,754 Not assessed87 Older352 Could not confirm93 Blogs with no paper266 All blogs284

Paper	Topic	Relevance
OWLET: On-Policy Weighted Learning via Evidence Transfer for Video Large Language Model Post-Training Introduces an on-policy post-training framework that incorporates visual evidence transfer to improve reasoning in video large language models. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Studies post-training for Video Large Language Models, not industrial vision inspection.
QCLR: A Plug-in Robustification Module via Quantization for Contrastive Learning in Self-Supervised Skeleton-Based Human Action Recognition Proposes a quantization module to improve adversarial robustness in self-supervised skeleton-based human action recognition. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Addresses skeleton action recognition without multimodal language or cross-modal components.
QCLR: A Plug-in Robustification Module via Quantization for Contrastive Learning in Self-Supervised Skeleton-Based Human Action Recognition Proposes a quantization module to improve adversarial robustness in self-supervised skeleton-based human action recognition. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Focuses on action recognition and adversarial robustness, not industrial applications.
Multi-Source and Multi-Dimensional Information Fusion in Resource-Constrained Edge Networks Develops a semantic information fusion framework that coordinates distributed edge terminal uploads and slot-based token aggregation. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Deals with edge network information fusion and game theory, not industrial visual inspection.
Multi-Source and Multi-Dimensional Information Fusion in Resource-Constrained Edge Networks Develops a semantic information fusion framework that coordinates distributed edge terminal uploads and slot-based token aggregation. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses on distributed edge communication and token transmission rather than multimodal foundation models.
Decoding Register Tokens Preserves Global Scene Details Investigates decoding register tokens alongside patch tokens in vision transformers to preserve global scene appearance details. Preprint	AI safety and reliability in deployment via arxiv · 12 Oct, 16:28	Not relevant Studies feature representation recovery rather than deployment safety or jailbreaks.
Decoding Register Tokens Preserves Global Scene Details Investigates decoding register tokens alongside patch tokens in vision transformers to preserve global scene appearance details. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses exclusively on visual patch and register tokens within vision models.
Decoding Register Tokens Preserves Global Scene Details Investigates decoding register tokens alongside patch tokens in vision transformers to preserve global scene appearance details. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Studies vision transformer token decoding and appearance probes, not industrial vision.
Decoding Register Tokens Preserves Global Scene Details Investigates decoding register tokens alongside patch tokens in vision transformers to preserve global scene appearance details. Preprint	Small and efficient models via arxiv · 12 Oct, 16:28	Not relevant Focuses on token decoding in autoencoders, not model compression or efficiency.
Decoding Register Tokens Preserves Global Scene Details Investigates decoding register tokens alongside patch tokens in vision transformers to preserve global scene appearance details. Preprint	LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28	Not relevant Investigates ViT internal token mechanics rather than LLM evaluation benchmarks.
Sonic-AMG: Streaming Human Motion Generation from Spatial Audio Introduces a streaming causal transformer framework for generating human motion continuously from spatial audio inputs. Preprint	LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28	Not relevant Develops a motion generation framework rather than LLM evaluation or benchmarks.
Sonic-AMG: Streaming Human Motion Generation from Spatial Audio Introduces a streaming causal transformer framework for generating human motion continuously from spatial audio inputs. Preprint	Small and efficient models via arxiv · 12 Oct, 16:28	Not relevant Addresses streaming generative modeling rather than model compression or efficient serving.
Sonic-AMG: Streaming Human Motion Generation from Spatial Audio Introduces a streaming causal transformer framework for generating human motion continuously from spatial audio inputs. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Focuses on streaming human motion generation from spatial audio, not industrial vision.
Sonic-AMG: Streaming Human Motion Generation from Spatial Audio Introduces a streaming causal transformer framework for generating human motion continuously from spatial audio inputs. Preprint	AI safety and reliability in deployment via arxiv · 12 Oct, 16:28	Not relevant Focuses on audio-to-motion generation, not AI safety, hallucination, or guardrails.
PAGE: Parts-Aware Guidance for Co-Speech Gesture Portrait Video Generation Presents parts-specific reweighting and classifier guidance to improve facial details and audio alignment in speech-driven gesture videos. Peer-reviewed	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Focuses on generating co-speech portrait videos, not industrial computer vision.
NovaSplat: Model-Free 6D Object Pose Estimation via 3D Gaussian Splatting Onboarding and Refinement Presents a model-free pipeline using smartphone-derived 3D Gaussian Splatting for novel object onboarding and 6D pose estimation. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses on 3D computer vision and pose estimation without multimodal reasoning.
ThinkDrag: Semantic Drag-Based Image Editing with Visual Reasoning Proposes a multimodal drag-based image editing framework that generates visual reasoning traces to guide point-based transformations. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Addresses interactive drag-based image editing, not industrial computer vision.
CoVA: Composing VAE Representations for Generative Learning Composes internal VAE representations into stage-wise guidance to improve diffusion transformer generative learning without external encoders. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Focuses on VAE representations for generative image modeling, not industrial applications.
CoVA: Composing VAE Representations for Generative Learning Composes internal VAE representations into stage-wise guidance to improve diffusion transformer generative learning without external encoders. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Investigates visual generative model representations without cross-modal multimodal integration.
VideoAWR: Reinforcing Video Flow Models with Decoupled-Timestep Advantage-Weighted Rectification Introduces a reinforcement learning method that decouples sampling from optimization anchors to stabilize video flow generation training. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses on generative video flow models rather than multimodal reasoning systems.
VideoAWR: Reinforcing Video Flow Models with Decoupled-Timestep Advantage-Weighted Rectification Introduces a reinforcement learning method that decouples sampling from optimization anchors to stabilize video flow generation training. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Develops reinforcement learning for video flow models, unrelated to industrial vision.
Why DiT Models Underperform as Representation Learners without Long Skip Connections Analyzes how long skip connections in Diffusion Transformers preserve feature representations for unified visual generation and understanding. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Studies unimodal visual feature representations inside diffusion transformers.
Why DiT Models Underperform as Representation Learners without Long Skip Connections Analyzes how long skip connections in Diffusion Transformers preserve feature representations for unified visual generation and understanding. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Investigates representation learning in Diffusion Transformers, not industrial visual applications.
Radiomics-Based Thyroid Nodule Classification with Label-Conditional Conformal Prediction Combines radiomics features, an additive model, and conformal prediction for uncertainty-aware thyroid nodule ultrasound classification. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Addresses ultrasound medical diagnostics and conformal prediction, not industrial vision.
Radiomics-Based Thyroid Nodule Classification with Label-Conditional Conformal Prediction Combines radiomics features, an additive model, and conformal prediction for uncertainty-aware thyroid nodule ultrasound classification. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses on radiomics and tabular classification without multimodal model architectures.
TextVBench: Evaluating Text Rendering and Preservation in Video Generation Introduces a benchmark evaluating text rendering and temporal preservation in text-to-video and reference-to-video generation models. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Evaluates visual text rendering in generative video models, not industrial inspection.
SADL: A Size-Adaptive Decision Layer for Chronic Stroke Lesion Segmentation in ISLES 2026 Introduces an adaptive decision layer and ensemble scheme for chronic stroke lesion segmentation on brain MRI. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Focuses on clinical medical MRI lesion segmentation, not industrial computer vision.
SADL: A Size-Adaptive Decision Layer for Chronic Stroke Lesion Segmentation in ISLES 2026 Introduces an adaptive decision layer and ensemble scheme for chronic stroke lesion segmentation on brain MRI. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses strictly on medical image segmentation without multimodal language-vision capabilities.
A Real-World CAD Segmentation Benchmark: Comparing Rule-Based and Learning-Based Approaches through Hole Detection Introduces a real-world CAD segmentation benchmark focused on fastener hole detection, comparing rule-based approaches with deep learning methods. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Evaluates 3D CAD mesh/B-Rep segmentation without multimodal or vision-language integration.
GraftOOD: Grafting Out-of-Distribution Exemplars into Advantage-Weighted Rectification for Video Reward Optimization Grafts out-of-distribution video exemplars into reward optimization to prevent motion collapse during video generation training. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Studies video generative models and reward optimization, not industrial computer vision.
GraftOOD: Grafting Out-of-Distribution Exemplars into Advantage-Weighted Rectification for Video Reward Optimization Grafts out-of-distribution video exemplars into reward optimization to prevent motion collapse during video generation training. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses on video generation dynamics and reward optimization rather than multimodal reasoning.
Stride: Scale-Aware Multi-Agent Evolutionary Refinement for Infographic Generation Proposes a multi-agent evolutionary framework that routes global composition edits and local retouching for constrained infographic generation. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Focuses on infographic image generation, not industrial computer vision tasks.
SplatQ: Interaction-Aware Pruning of 3D Gaussian Splatting via Quadratic Selection Presents a quadratic selection pruning algorithm for 3D Gaussian Splatting that coordinates regional budgets and accounts for joint deletion effects. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Proposes 3D Gaussian Splatting pruning for scene rendering, not industrial inspection or defect detection.
SplatQ: Interaction-Aware Pruning of 3D Gaussian Splatting via Quadratic Selection Presents a quadratic selection pruning algorithm for 3D Gaussian Splatting that coordinates regional budgets and accounts for joint deletion effects. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses purely on 3D scene reconstruction and graphics pruning without cross-modal interaction.
Beyond Successful Robot Demonstrations: Learning from Human Interactions and Modeling Failure Dynamics Develops a robotic action-conditioned world model trained on egocentric human interactions and failure dynamics to improve execution foresight. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Focuses on general robot world modeling from human videos, not computer vision for industrial applications.
Beyond Successful Robot Demonstrations: Learning from Human Interactions and Modeling Failure Dynamics Develops a robotic action-conditioned world model trained on egocentric human interactions and failure dynamics to improve execution foresight. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses on robotic action-conditioned world models rather than multimodal reasoning or vision-language models.
Knowing Whether, Not Just Where: Anchor-Probing Distillation for Open-Set Remote Sensing Visual Grounding Presents a teacher-student framework to evaluate whether remote sensing visual queries are genuinely supported before predicting bounding boxes. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Focuses on remote sensing visual grounding, not industrial manufacturing or visual inspection.
Efficient Confidence-Aware Densification for 3DGS Introduces an error-driven, confidence-aware densification method to place primitives more effectively in 3D Gaussian Splatting under fixed budgets. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Focuses on general 3D Gaussian Splatting rendering, not industrial inspection or defect detection.
Efficient Confidence-Aware Densification for 3DGS Introduces an error-driven, confidence-aware densification method to place primitives more effectively in 3D Gaussian Splatting under fixed budgets. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Deals strictly with 3D novel view synthesis rather than multimodal vision-language architectures.
MOSAIC: Multi-Scale Object-Centric Slot Adaptation with Image-Guided Prototype Conditioning for Remote Sensing Image Super-Resolution Proposes an object-centric slot adaptation framework with prototype memory for remote sensing image super-resolution using diffusion Transformers. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Deals with image-to-image super-resolution via diffusion Transformers without multimodal integration.
MOSAIC: Multi-Scale Object-Centric Slot Adaptation with Image-Guided Prototype Conditioning for Remote Sensing Image Super-Resolution Proposes an object-centric slot adaptation framework with prototype memory for remote sensing image super-resolution using diffusion Transformers. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Addresses remote sensing super-resolution, not industrial inspection, defect detection, or factory perception.
Auditing VLM Benchmarks from Existing Evaluation Runs Audits vision-language model benchmarks by analyzing saved evaluation artifacts and removing image inputs to detect ungrounded questions. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Evaluates general vision-language benchmarks, not industrial manufacturing or inspection computer vision.
ELMA: Benchmarking Anaphoric Compositions for Long-Term Text-to-Motion Generation Introduces ELMA, a benchmark dataset for generating long-term human motions from multi-segment instructions with anaphoric references. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Focuses on generating avatar human motions, not industrial computer vision or robotic inspection.
Learning Holistic Scene Layout against View Shifts in Cross-View Geo-Localization Applies multi-directional spatial context modeling and high-frequency guidance for cross-view geographic localization. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Focuses on geographic cross-view localization, not industrial vision, manufacturing, or defect detection.
Learning Holistic Scene Layout against View Shifts in Cross-View Geo-Localization Applies multi-directional spatial context modeling and high-frequency guidance for cross-view geographic localization. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Addresses visual geo-localization using image features, lacking multimodal integration.
What We Talk About When We Talk About Emotion Editing Uses fMRI encoding representations to guide targeted emotional edits on images while preserving visual content. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Explores emotional image editing via fMRI signals, not industrial inspection or defect detection.
What We Talk About When We Talk About Emotion Editing Uses fMRI encoding representations to guide targeted emotional edits on images while preserving visual content. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses on neural-guided image generation and editing rather than multimodal language-vision architectures.
RARA: Robust Policy Fine-Tuning through Retrieval-Anchored Representation Alignment for Robotic Manipulation Aligns robot policy representations with retrieved pretraining examples to maintain generalization during low-data fine-tuning. Preprint	Small and efficient models via arxiv · 12 Oct, 16:28	Not relevant Addresses out-of-distribution policy adaptation rather than model quantization, distillation, or efficient serving.
RARA: Robust Policy Fine-Tuning through Retrieval-Anchored Representation Alignment for Robotic Manipulation Aligns robot policy representations with retrieved pretraining examples to maintain generalization during low-data fine-tuning. Preprint	AI safety and reliability in deployment via arxiv · 12 Oct, 16:28	Not relevant Does not evaluate safety, jailbreaks, hallucination, or operational guardrails.
RARA: Robust Policy Fine-Tuning through Retrieval-Anchored Representation Alignment for Robotic Manipulation Aligns robot policy representations with retrieved pretraining examples to maintain generalization during low-data fine-tuning. Preprint	LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28	Not relevant Focuses on policy fine-tuning techniques rather than LLM benchmarks or evaluation methods.
Thyroid Nodule Segmentation in Ultrasound Images with Conformal Uncertainty Estimation Combines deep segmentation networks with conformal prediction to estimate pixel-level uncertainty on thyroid ultrasound images. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Covers unimodal medical image segmentation, containing no multimodal integration.
Thyroid Nodule Segmentation in Ultrasound Images with Conformal Uncertainty Estimation Combines deep segmentation networks with conformal prediction to estimate pixel-level uncertainty on thyroid ultrasound images. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Investigates medical thyroid ultrasound segmentation, not industrial manufacturing or visual inspection.
CUBE: Class-conditioned Unknown Boundary Evidence for Open-Set Insect Species Recognition Develops a class-conditioned boundary evidence method for open-set recognition of visually similar insect species. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Focuses on biodiversity insect species classification, not industrial computer vision or defect detection.
CUBE: Class-conditioned Unknown Boundary Evidence for Open-Set Insect Species Recognition Develops a class-conditioned boundary evidence method for open-set recognition of visually similar insect species. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses on open-set visual classification rather than multimodal vision-language integration.
Benchmarking Answer-Grounding Consistency in Remote Sensing Visual Question Answering Introduces an evaluation protocol and dataset to measure consistency between textual answers and visual grounding in remote sensing VQA. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Addresses remote sensing visual question answering, not industrial defect detection or factory computer vision.
Can Multimodal Decision Models Classify Breast Ultrasound Images? Benchmarking CLEF and CLEF-Flash Across Prompts and Datasets Benchmarks multimodal decision models across multiple prompts for classifying breast ultrasound imaging datasets. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Focuses on medical ultrasound diagnostics rather than industrial inspection or factory defect detection.
PhysForge: Material-Controllable 3D Reconstruction with Separable Components Reconstructs physical 3D objects with controllable material properties and interaction dynamics via video diffusion models. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Focuses on 3D dynamic asset generation with physics simulation, not industrial inspection computer vision.
PhysForge: Material-Controllable 3D Reconstruction with Separable Components Reconstructs physical 3D objects with controllable material properties and interaction dynamics via video diffusion models. Preprint	Multimodal models via arxiv · 12 Oct, 16:28	Not relevant Focuses on physical 3D asset generation via video diffusion models rather than multimodal reasoning.
X-AVDD: Cross-Attentive Audio-Visual Dataset Distillation Proposes a memory-efficient cross-attention method for distilling large paired audio-visual datasets into compact synthetic sets. Preprint	LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28	Not relevant Focuses on synthetic dataset distillation for training efficiency rather than evaluating or benchmarking LLMs.
X-AVDD: Cross-Attentive Audio-Visual Dataset Distillation Proposes a memory-efficient cross-attention method for distilling large paired audio-visual datasets into compact synthetic sets. Preprint	Computer vision for industrial applications via arxiv · 12 Oct, 16:28	Not relevant Addresses audio-visual dataset distillation, not industrial inspection, defect detection, or factory perception.

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