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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 34
Peripheral prototypical contrastive loss for supervised medical image segmentation
Robust segmentation of biomedical images remains challenging primarily due to ill-defined object boundaries.Lie Routing Vision Language Models for View-Robust 3D Understanding
Multimodal Large Language Models (MLLMs) have made substantial progress in 3D scene understanding from multi-view RGB observations.Spatial Uncertainty Analytics for Budget-Limited Inspection of Hyperspectral Scenes
Land-cover maps classified from wide-area hyperspectral surveys are least reliable along class boundaries and in ambiguous regions, so their errors are spatially structured.A Straight Line Is Not a Camera Pose: Auditing Short-Clip Pose Benchmarks
The absolute trajectory error (ATE) is the standard measure of camera-motion accuracy, from SLAM to feed-forward 3D reconstruction.Selecting or Solving? What Best-of-N Verification Delivers in Video Reasoning
Answering a complex question about a long video is a grounding problem: the answer turns on a few seconds of evidence, and vision-language models remain well below human accuracy at finding them.SASFormer: Stage-Aware Selective Attention Transformer for All-in-One Blind Image Restoration
All-in-one image restoration aims to recover high-quality images from multiple degradation types using a single unified model.3D Neural Rendering for Automated Ultrasonic Laser Scans
Laser doppler vibrometer (LDV) scans can be used to detect defects and cracks in manufactured parts before they are deployed.RATR: Training-Free Material Rebinding via Role Assignment and Temporal Routing
Material rebinding aims to transfer the material appearance from a reference image while preserving the target object's geometry and identity.Spatial-Spectral Interactive POCS Network for Large-Gap Seismic Data Interpolation
Large gaps in seismic acquisition disrupt reflection events and hinder spectral recovery.Structured Channel Network Pruning with Bi-Sparse Matrix Factorization
Structured channel pruning for convolutional neural networks (CNNs) plays an important role in pattern recognition and deep learning.Words Before Pixels: Selective Modality Routing for Vision-Language Model Unlearning
Vision-language model (VLM) unlearning is often treated as an objective-design problem: given multimodal forget data, the goal is to optimize a loss that removes undesirable behavior while…PREM: Prediction-Regulated Memory for Robot Manipulation
A robot's next action can depend on recent motion or earlier visual evidence absent from its current observation.Regularized Wasserstein Distance for Discrete Generative Modeling and Clustering Analysis
In this paper, we formulate clustering analysis as discrete generative modeling.SE-Mem: Semantic-Episodic Memory for Scene-Consistent Generative View Synthesis
Generative view synthesis aims to synthesize novel-view videos from reference observations along user-defined camera trajectories.From White Canes to Edge AI: A Survey of Assistive Navigation Technologies for Blind and Low-Vision Individuals
Independent mobility is a foundational requirement for the autonomy of blind and low-vision (BLV) individuals, yet the assistive technologies that support it have historically evolved slowly.Smooth bounding box for object detection
Deep learning-based object detection models are highly dependent on the quality of annotated training data.ROD-Dataset: A Pedestrian-Perspective Benchmark of Urban Obstacle Classes for YOLO-Based Detection
Two groups of pedestrians face avoidable risk on the city sidewalk: people living with visual impairment, who reach an obstacle before anything warns them, and people walking with divided attention…Content-Preserving Principal Feature Blending for Training-Free Style Personalization
Reference-based style personalization should reproduce the appearance of a style reference while preserving the subject specified by a content prompt.Density-Aware Calibration for Resource-Efficient Medical Vision-Language Models
Medical vision-language models (VLMs) show promise for clinical image understanding, but their computational and memory requirements hinder deployment on resource-constrained clinical hardware.Vision-based Sensing of Urban Environment using Hardware-Software co-design at Scale
Urban environmental monitoring is crucial for climate-adaptive cities, yet current approaches rely heavily on human inspection, overhead remote sensing, or limited terrestrial RGB imagery, thereby…