Every paper checked — nothing hidden
All papers
Every paper checked in the week of 12–18 Oct 2026 · Multimodal models — nothing is hidden. Brief papers first.
All1,924In brief3More (on-topic)553Not relevant1,333Not assessed19Older33Could not confirm19Blogs with no paper11All blogs13
| Paper | Topic | Relevance | Feedback |
|---|---|---|---|
| Zero-RAG: Towards Retrieval-Augmented Generation with Zero Redundant Knowledge The paper introduces a method to reduce redundant external knowledge retrieval by estimating what a language model already knows. Peer-reviewedOlder paper (2025) Older paper (2025) — discussed this week | Multimodal models via blog · 17 Oct, 06:24 | Not relevant Works strictly with text retrieval without multimodal data or vision-language models. | |
| Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning This paper presents a dataset, benchmark, and coarse-to-fine learning scheme to detect tiny oriented objects in imagery. Peer-reviewedOlder paper (2024) Older paper (2024) — discussed this week | Multimodal models via ieee · 17 Oct, 06:19 | Not relevant Focuses solely on computer vision rather than multimodal models. | |
| Tokenized Joint Source-Network Coding for Loss-Resilient Video Streaming This paper proposes a tokenized joint source-network coding framework to improve video streaming resilience against network packet loss. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses on video transmission coding protocols, not multimodal reasoning models. | |
| Backward Compatibility in Zero-Bit Neural Audio Watermarking Establishes a training approach to ensure backward compatibility and prevent false positives across versions of neural audio watermarking. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses on zero-bit audio watermarking, not multimodal reasoning or vision-language models. | |
| Learning Topology-Aware Representations for Mechanics-Relevant TPMS Metamaterials Applies persistent homology to encode global structural connectivity into learned representations of mechanical metamaterials. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses on 3D metamaterial geometry representations rather than multimodal language-vision models. | |
| Purify Before You Align: Improving Representation Alignment for Diffusion Models Introduces local appearance purification to filter alignment targets and improve representation learning during diffusion model training. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses on image diffusion training targets rather than multimodal integration. | |
| DefoliationCAM: An Edge-AI System for Real-Time Insect Defoliation Severity Assessment in Grapevines Builds a solar-powered edge vision system to detect and quantify insect defoliation severity in grapevine canopies. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Applies standard computer vision pipelines rather than multimodal vision-language reasoning. | |
| Pixels to Tokens: Token Space Efficient Active Learning for Low-Budget Semantic Segmentation Selects maximally informative pixel tokens directly from vision transformers to train segmentation heads under tight annotation budgets. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses solely on computer vision ViT segmentation rather than multimodal models. | |
| EgoJEPA: Beyond Retargeting for Dexterous Manipulation from Egocentric Videos Learns robot manipulation priors from egocentric human videos using action prediction rather than rule-based hand retargeting. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses on visual robot control rather than multimodal language or document understanding. | |
| Decision-FLIP: Budget-Free Structured Pruning for Gaussian Occupancy Models Prunes Gaussian occupancy models without preset budgets by identifying and removing Gaussians that do not alter voxel classification decisions. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Addresses 3D occupancy model pruning rather than vision-language or multimodal cross-modal modeling. | |
| Line-Augmented cuVSLAM: Robust Visual Odometry in Low-Texture Environments Adds line-feature tracking to GPU-accelerated visual odometry to improve warehouse robot localization in low-texture environments. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Addresses robotics visual SLAM rather than multimodal vision-language models. | |
| RoPE-Flow: Monocular Vision-based Robot Pose Estimation via 2D Graph-Conditioned 3D Flow Matching Estimates 3D robot pose from monocular images using graph-guided 2D keypoints and conditional flow matching. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Studies monocular 3D robot pose estimation without multimodal integration. | |
| RoboCloth: A Large-Scale Real Cloth Material Dataset for Neural Reflectance Reconstruction Presents a dataset of 500 robotically imaged cloth materials for training and evaluating neural reflectance reconstruction models. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses on 3D neural reflectance modeling, not multimodal models. | |
| Spectral-Spatial Interpretation Introduces a Shapley-based attribution method that jointly explains spatial and spectral channel importance in multispectral imagery. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses on multispectral image interpretability rather than multimodal LLMs. | |
| ResStreamGS: Residual-Sensitive Dual-Stream Gaussian Splatting for Mobile Volumetric Video Streaming Separates static and dynamic 3D Gaussians to enable efficient real-time volumetric video streaming on mobile devices. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Covers 3D Gaussian Splatting video streaming, not multimodal models. | |
| Sparse Attention for Video Generation Acceleration via Growing Sparsity and Reduced Search Accelerates diffusion transformer video generation by increasing attention sparsity and reusing search indices across denoising steps. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses on accelerating video generation diffusion transformers without multimodal reasoning. | |
| Trajectory Prediction Method for person under WSN with Hierarchical Envelope Adversarial Domain Adaptation Develops a domain adaptation framework to improve pedestrian trajectory prediction under varied social couplings and scene shifts. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Studies trajectory prediction rather than multimodal language or vision models. | |
| Monotone Piecewise-Linear Harmonization of Multitemporal Multispectral Surface Reflectance With Unsupervised Deep Multiview Pseudoinvariant Features Learning Presents an unsupervised deep multiview learning framework to correct systematic multitemporal surface reflectance inconsistencies across satellite observations. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses on multispectral satellite imagery rather than multimodal language-vision models. | |
| UltraDiff: Transferring High-Fidelity Priors to Compressed Latent Spaces for High-Resolution Image Generation Distills high-fidelity priors into heavily compressed latent spaces to enable faster high-resolution image generation. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses on image generation efficiency rather than multimodal reasoning. | |
| SpaceCache: Intermediate Feature Reuse for Efficient Semantic Segmentation on Point Cloud Streams Reuses intermediate transformer features across video frames to speed up 3D point cloud semantic segmentation without extra training. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Studies unimodal 3D point cloud streaming feature reuse. | |
| DLOSAC: Joint Spatial-Geometric Image Estimation via Delaunay-Guided Local Optimization RANSAC Proposes a local optimization method using Delaunay triangulation to balance geometric consistency with spatial distribution in RANSAC estimation. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses on unimodal geometric image estimation without multimodal data. | |
| A large-scale climate-aware satellite image dataset for domain adaptive land-cover semantic segmentation Introduces a climate-aware satellite image dataset to evaluate and improve domain adaptive land-cover semantic segmentation across different regions. Peer-reviewed | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Deals solely with unimodal satellite image semantic segmentation. | |
| ReState: Noise-Level-Aware State Correction for Training-Free Object Removal in Few-Step Diffusion Models Presents a training-free state-correction method to eliminate object residuals during object removal in few-step diffusion models. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Addresses diffusion inpainting and editing, not multimodal reasoning models. | |
| GeoPano: Towards Geometrically Accurate 3D Reconstruction from a Single Panorama Introduces a feed-forward framework with panoramic attention to recover geometrically consistent 3D point clouds from a single panorama. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses on geometric single-panorama reconstruction, not multimodal vision-language systems. | |
| Dusting the Phantom: Gaussian Allocation for Fading Dynamic Content Improves dynamic 3D Gaussian splatting for fast-moving objects by injecting seeds in under-reconstructed dynamic areas. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses on 3D Gaussian volumetric video rendering, not multimodal models. | |
| CoViG: Coarsened Vision GNN for Image Classification Reduces the inference computational cost of vision graph neural networks by applying graph coarsening via MinCUT pooling. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses on Vision Graph Neural Networks, not multimodal vision-language models. | |
| CertEx: Exact Visual Retrieval at Scale by Certified Exclusion Presents a GPU nearest-neighbor search method that uses half-precision certified exclusion to deliver exact visual retrieval efficiently. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Provides exact kNN vector search optimization rather than multimodal models. | |
| Semantic Latent Alignment for Flow Matching with Invertible Bi-Lipschitz Adapters Proposes invertible bi-Lipschitz adapters to align pretrained latent spaces with semantic representations for flow matching without retraining encoders. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Covers flow matching latent alignment, not multimodal foundation models. | |
| When Should a Low-Light Pipeline Generate? Auditable Risk Control for Selective Generative Enhancement Presents an auditable framework that uses risk budgeting to selectively deploy generative enhancers over base restoration models in low-light images. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Deals with low-light image restoration, not vision-language integration. | |
| L2GSSL: Label-Efficient Local-to-Global Self-Supervised Learning for Volumetric Healthcare Data Introduces a label-efficient self-supervised learning framework that splits volumetric CT scans into local slice and global context representations. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Addresses volumetric medical image representation, not multimodal vision-language models. | |
| CoDeFont: One-Shot Font Generation via Multi-Scale Factor-Specific Representation Learning Proposes a script-agnostic one-shot font generation framework separating style and content representations across multiple spatial scales. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Deals with one-shot glyph style transfer, not multimodal reasoning. | |
| SATOR: Backpropagation-Free 3D Test-Time Adaptation via Sample-Adaptive Token Routing Presents a backpropagation-free test-time adaptation method that purges unreliable 3D point cloud tokens without requiring candidate size search. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses on 3D point cloud adaptation, not multimodal vision-language systems. | |
| CLAD: Keypoint Matching Using Global Line Correspondences Presents a keypoint descriptor method that leverages global line correspondences to improve feature matching in repetitive or textureless scenes. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Presents visual keypoint matching, not multimodal text-image foundation models. | |
| ManiFusion: Unlocking the High-Throughput Generation via Superposition in Manifold Space Proposes a framework that increases image diffusion throughput by fusing and processing multiple generation samples simultaneously in manifold space. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Concerns diffusion image generation throughput, not vision-language multimodal modeling. | |
| RLDF: A Region-Level Deepfake Dataset and Benchmark for Partial-Face Manipulation Detection Introduces a benchmark and dataset of over two million images to evaluate deepfake detection models on partial-face manipulations. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses on face-swap deepfake detection rather than multimodal vision-language reasoning. | |
| PET Quantification-Preserving Registration for Longitudinal Whole-Body PSMA PET/CT Presents a multi-modal registration framework for longitudinal whole-body PET/CT that preserves metabolic tumor quantification metrics. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Covers medical image registration, not multimodal language-vision foundation models. | |
| GRASE: Geometry-native Real-to-sim Agentic Scene Modeling from Video Presents an agentic framework that iteratively refines 3D scene geometry from multi-view video captures against standing visual observations. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses on geometry-native real-to-sim 3D scene reconstruction from video. | |
| FilterFusion: Prior-Guided Adaptive Filter Fusion for Efficient Video Denoising Combines lightweight learned guidance with classical filter banks for efficient, low-latency video denoising in communication pipelines. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Presents a unimodal video denoising pipeline without multimodal integration. | |
| A Decision-Aware Evaluation Protocol for Uncertainty in Medical Image Segmentation Introduces an evaluation protocol for medical image segmentation uncertainty metrics based on clinical deferral policies and fixed review budgets. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses on medical vision segmentation uncertainty without multimodal components. | |
| Anchor3DGS: Feed-Forward 3D Gaussian Splatting with Compact Anchor-Based Representation Presents a feed-forward 3D Gaussian splatting method that uses entropy-guided 3D anchors instead of pixel-aligned predictions for efficient reconstruction. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Proposes feed-forward 3D reconstruction, not multimodal vision-language modeling. | |
| DIAL: Dynamic and Informed Adjustment of the Native Stochastic Law for Reliable Weather Ensembles Proposes a method to dynamically adjust stochastic spread during inference to improve the reliability of weather ensemble forecasts. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses on stochastic weather models rather than multimodal systems. | |
| SCMerge: Spatial-Consistency-Aware Token Pair Merging for Efficient Semantic Segmentation Presents a training-free token merging approach combining spatial consistency and feature similarity to speed up vision transformers in segmentation. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses strictly on unimodal vision transformer segmentation token merging. | |
| Digital Typhoon Dataset V3: Benchmarking for Multi-spectral Extension and Analyzing Systematic Bias in Intensity Regression Releases an extended 50-year multispectral satellite benchmark for typhoon intensity regression and analyzes systematic model biases. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Studies multi-spectral satellite imagery regression rather than multimodal models. | |
| Bridging the Markerless Tracking Validation Gap: Intraoperative X-ray Workflow Integration Presents a clinical workflow using intraoperative fluoroscopy to provide subsurface ground truth for validating markerless spinal tracking systems. Peer-reviewed | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses on 3D surgical tracking sensors rather than multimodal AI. | |
| Mixture of Multi-Sequence Feature Difference for Contrast-Enhanced MRI Synthesis Proposes an adaptive multi-sequence feature difference module to synthesize contrast-enhanced MRI scans from non-contrast imaging sequences. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Addresses multi-sequence MRI vision synthesis, not multimodal vision-language models. | |
| International Multi-Centre Validation of Unsupervised Domain Adaptation for Precise Discrimination between Normal and Abnormal Retinal Development Validates an unsupervised domain adaptation model to classify normal and abnormal retinal development across diverse optical coherence tomography systems. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Studies unimodal OCT medical image classification, not multimodal models. | |
| The Dormant Spiking Neuron: A State-Driven Mechanism for Efficient Spiking Neural Networks Introduces a dormant spiking neuron mechanism that skips subthreshold computations to reduce computational overhead in spiking neural networks. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses on spiking neural networks rather than multimodal foundation models. | |
| FuseAdapt: Parameter-Efficient Multimodal Fusion for Semantic Segmentation with Missing Modalities Introduces a parameter-efficient multimodal fusion framework inside frozen vision backbones that handles missing modalities during semantic segmentation. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses on multi-sensor vision fusion without text or language interaction. | |
| NICE Toolbox: Nonverbal Interpersonal Communication Exploration Toolbox Introduces an open-source Python toolbox combining computer vision and speech models to analyze multimodal human nonverbal communication signals. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Psychology toolbox combining vision and speech detectors, not multimodal models. | |
| Single-stage joint diffusion of sky images and clear-sky index for ultra-short-term irradiance forecasting: what the frame-to-irradiance stage discards Proposes a single-stage joint diffusion method to forecast solar irradiance directly from sky images without requiring a separate regression model. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Sky-image time series forecasting, not multimodal vision-language AI. | |
| Teaching DINOv3 About Partial 3D Geometry: A Self-Supervised Geometry-Aware Approach Refines DINO foundation features using self-supervised low-rank adaptation to improve partial 3D shape matching. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses purely on 3D vision and geometry descriptors. | |
| From Adults to Children: Benchmarking Foundation Models for Chest X-Ray Classification under Domain Shift The paper benchmarks the performance degradation of medical foundation models when transferring from adult chest X-rays to pediatric patients. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Evaluates vision backbones on medical X-rays without language modalities. | |
| Temporal Periodic Image Registration with Implicit Neural Representations The paper applies implicit neural representations with temporal consistency constraints to register periodic medical image sequences across time. Peer-reviewed | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Unimodal medical image registration, not a multimodal language model. | |
| Seeing Both the Forest and the Trees: Reusing Holistic 3D Priors for Part-Decomposed Generation The paper presents a dual-frame coordinate transformer to generate 3D assets with separable, editable component parts. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses on 3D mesh decomposition and generation, not multimodal models. | |
| From Sketch to Scene: Relightable Garment Reconstruction from Marked Sketches The paper reconstructs relightable 3D garment meshes from 2D sketches annotated with sparse lighting symbols. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Computer graphics for 3D garment mesh relighting, not multimodal AI. | |
| GRID-Planner: Graph-Structured Relational Reward Shaping for Diffusion Planning The paper introduces a graph-structured relational reward shaping framework for diffusion-based trajectory planning in autonomous driving. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Diffusion planner for autonomous driving, not a multimodal language model. | |
| VesperMUSE: Multi-Modal Fusion Vision Transformer for Image Semantic Segmentation Under Diverse Light Conditions The paper presents a multimodal vision transformer framework combining thermal guidance and RGB features for image segmentation in low-light environments. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Fuses RGB, thermal, and surface normals for segmentation without language. | |
| Data-Efficient ConvNeXt Pretraining for High-Resolution Sentinel-1 GRD SAR Representation Learning The paper introduces a sparse convolutional masked autoencoder framework to improve data-efficient pretraining on radar satellite imagery. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses purely on radar remote sensing imagery, not multimodal models. | |
| FeaTok: Feature-Loss Tokenization for Image Generation The paper trains discrete image tokenizers by reconstructing pretrained self-supervised feature embeddings rather than raw pixel values. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses on unimodal image generation rather than cross-modal reasoning. | |
| Pathology foundation models for training-free case retrieval in salivary gland tumors The paper tests whether pathology foundation models can retrieve relevant historical cases for rare salivary gland tumors without task-specific fine-tuning. Preprint | Multimodal models via arxiv · 17 Oct, 06:18 | Not relevant Focuses on vision-based image retrieval in pathology without cross-modal language integration. |
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