AI & Machine Learning · Computer Science & AI
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 14
Reliability-Role Collaborative Learning for Semi-Supervised Cardiac Image Segmentation
Semi-supervised cardiac image segmentation aims to exploit abundant unlabeled images together with limited annotations, but the reliability of pseudo-label supervision is highly uneven across…Mamba3R: Fixed-Capacity Selective State Memory for Long-Sequence 3D Reconstruction
Streaming 3D reconstruction must maintain geometric quality over long inputs within a fixed GPU budget.LINDA: Low Resource Foot Ulcer Segmentation using Local Similarity and Iterative Neural Dynamics
Foot ulcers are a leading cause of lower limb amputation, and the highest burden often falls on low and middle income regions where specialists and computing hardware are both scarce.TCINet: Tissue-Conditioned Adaptive Cross-Branch Interaction Network for Nuclei Instance Segmentation
Separating touching nuclei requires local boundary detail, while cell type classification requires broader morphological context.Improving Diffusion-Based Augmentation for Data-Scarce Image Classification via Mask-Guided Reference Attention and Repulsive Noise Optimization
Diffusion-based data augmentation has emerged as a powerful strategy for addressing data-scarce image classification.CounterSketch: Physics-Grounded Counterfactual Reasoning for Sketch-to-Video Generation
Counterfactual sketch animation explores how a static sketch evolves under a hypothetical intervention.P-SER: Physical Consistency-Constrained Scattering Expandable Representation for Class-Incremental HRRP Target Recognition
High-resolution range profiles (HRRPs) provide compact radar target representations but exhibit strong aspect sensitivity, complicating class-incremental recognition when historical data are…ProGeo-RC: Prototype-guided Semantic Reliability and Geometric Error Calibration for Semi-supervised Cardiac Image Segmentation
Semi-supervised medical image segmentation aims to train reliable segmentation models using limited labeled data and abundant unlabeled data.Sketch-Omni: Instance-Level Sketch-Based Visual Prompting for Perception MLLMs
Promptable perception, from GroundingDINO to Rex-Omni, puts one model behind one prompt interface and returns coordinates for any localisation task.Weight-Space Programming for Improving Image-Restoration Diffusion Models: Technical Conjectures and a Recursive Improvement Loop
Can an LLM directly edit the weights of a diffusion-based image-restoration model to \emph{improve} restoration quality---without gradients, paired data, or fine-tuning?GroundSeek-CXR: Retrospective Evaluation-Guided Active Observation Framework for Multi-Label Chest Radiography Diagnosis
Chest radiography (CXR) diagnosis is critical for thoracic disease assessment, yet challenged by the need to identify subtle lesions and co-occurring abnormalities across regions.CLOCs-R: Radar-Assisted Camera-LiDAR Fusion for Long-Range Object Detection
Long-range 3D object detection remains difficult for autonomous vehicles because LiDAR returns become sparse and camera evidence weakens with distance, while automotive radar keeps returning…FlowTranslator: Training-Free In-Image Machine Translation with Flow-Based Editing
In-image machine translation (IIMT) replaces text in an image with its translation while preserving the surrounding visual context.Weather Adaptive Autonomous Driving
Camera object detectors lose recall in rain, fog, snow and sand, and the confidence threshold at which a detector is deployed decides how many objects it misses and how many false alarms it raises.SteelHuman: Predicting Operator Estimates of Steel-Scrap Composition from Sparse RGB Views
Steel scrap composition estimation is an important part of yield planning and fair supplier compensation.Mitigating Spatial Blindness in Multiple Instance Learning for Whole-Slide Image Analysis
Whole-slide multiple instance learning can predict diagnostic and prognostic labels from tissue composition while making limited use of spatial organization.ReSMap: Recasting Satellite Priors for Robust and Accurate Online HD Map Construction
Despite recent advances in camera-based online HD map construction, these systems remain susceptible to sensor failures due to their reliance on onboard cameras.EndoS3:Endoscopic Semantic Splatting SLAM
Despite advances in 3D surgical scene understanding, semantic simultaneous localisation and mapping (SLAM) remains under-explored for two key reasons.RAFT: Reasoning-Aligned Fine-Tuning Improves Robustness of VLA Post-Training
Adapting a generalist vision-language-action (VLA) policy to a target task with limited demonstrations can improve nominal task success while reducing robustness to variations in appearance…IGSW: Multi-Weather Urban Scene Reconstruction with Intrinsic-Decoupled Gaussian Splatting
High-fidelity weather editing of 4D scenes can support end-to-end training and closed-loop simulation for autonomous driving.