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Computer Vision
The newest papers in Computer Vision that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
The newest 5,000 papers, from 29 September 2026 to 5 November 2026: 4,999 arXiv preprints and 1 OpenAlex record.
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Newest papers, page 71
A Computationally Efficient Non-Interpolation Virtual Trellis Approach for Mammogram Gradient-based Patterns Analysis
Feature analysis is a crucial step in medical image analysis, particularly in breast cancer classification.AndroidFlux: Evaluating and Reward Modeling Failure Recovery Capabilities in Mobile Use Multimodal Agents
Mobile-use multimodal agents are typically evaluated by task success from a clean initial state, which does not isolate their ability to recover from intermediate errors.No Cones, No Duals: A Fast and Scalable Solver for NRSfM
Non-rigid structure from motion (NRSfM) aims to recover camera motion and time-varying 3D shape from tracked 2D image measurements.On Detection Reliability for Small Object Segmentation
This study investigates whether predicted bounding boxes are reliable for determining where small-object segmentation should be performed without risking false negatives outside those boxes.Task Relevance-Driven Prompt Expansion for Federated Continual Learning
Federated continual learning (FCL) has attracted considerable interest by enabling local clients to continually acquire knowledge from new tasks.PhysCreator: Creating Physically-Attributed 3D Assets at Will
Significant advancements in 3D asset creation have enabled high-fidelity 3D generation from images.TRIAGE: Efficient Vision-Language-Action Inference Needs Both Reuse and Pruning
Vision-language-action (VLA) models are increasingly used for robot manipulation because they map camera images and a language instruction directly to actions.Conviction Without Evidence: Verdict Stability Is Independent of Visual Grounding in Medical Vision--Language Models
Vision--language models applied to medical question answering can reach correct diagnoses without using the diagnostic image, inferring instead from the clinical vignette.VTC-AUDIT: An Interventional Reliability Audit for Visual-Token Compression under Paired Image Shifts
Visual-token compression is usually evaluated by clean accuracy and efficiency, but these averages do not reveal failures that compression introduces under an image shift where the uncompressed…GRASP: Group-Adaptive Hybrid RL-SFT Post-Training for Medical VQA without Reasoning Annotations
Adapting general-purpose vision-language models (VLMs) to medical visual question answering (VQA) is valuable for helping clinicians read images and make diagnoses, but annotated data are scarce and…Recursive CLIP: Vision-Language Distillation with Looped Transformer Blocks
Contrastive vision-language models such as CLIP typically rely on independently parameterized transformer blocks across depth.FlockWorld: Toward Population-Scale Multi-Agent Video World Models through Artificial Life Simulation
Most action-conditioned video world models remain limited to a single player, while existing multiplayer models support only small, fixed groups of agents.Finetuning Prompt-Based Image Editor for Geometry-Consistent Room Defurnishing
Erasing all furniture from a single room image to generate its empty counterpart is valuable for XR applications such as diminished reality and virtual staging.An Agentic AI Workflow for Liver Lesion Segmentation and Structured Radiology Reporting
Despite advances in automated liver lesion segmentation, a gap remains between image-derived predictions and clinically interpretable radiology reports.FlexiMIND: Combined Pretrained Vision Features and Local Structure for Training-Free Deformable Medical Image Registration
Deformable image registration remains challenging because corresponding anatomy may exhibit different intensity relationships.Do Words Matter? What Text Contributes to Few and Full-Shot Vision-Language Anomaly Detection
Vision-language anomaly detectors describe normal and abnormal appearance with text, and their gains are commonly credited to the semantic content of these descriptions.P2P-Former: Bridging the Supervision Gap Between Point and Proposal in Temporal Action Localization
Recently, point-supervised temporal action localization has attracted increasing attention due to its low annotation cost (only one frame per action instance) and competitive detection performance.One Mean Log-Mel Vector per Phoneme: Simple and Fast Text Injection for Speech Recognition
Text injection trains speech recognition models on unpaired text alongside paired audio.RIDE-Splat: Reflection Removal for In-the-Wild Driving Environments
Driving video captured through a windshield violates the world-space consistency assumed by 3D Gaussian Splatting (3DGS): the road scene exhibits parallax while cabin reflections remain attached to…From Slices to Volumes: Comparing 2D, 2.5D, and 3D Residual Networks for Pulmonary Nodule Malignancy-Risk Classification
To compare 2D, 2.5D, and 3D residual networks for pulmonary nodule malignancy-risk classification and evaluate momentum-contrast pretraining, mild augmentation, and exclusion of indeterminate ratings.