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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 162
Retraining-Free Depth Pruning of Vision Transformers: A Cross Domain Study of Layer Redundancy
Transformer architectures have achieved strong results in natural language processing and computer vision, but their deployment is limited by high computational, memory and storage costs, motivating…CowCare: A Unified Visual Framework for Viewpoint-Robust Cattle Tracking and Spatiotemporal Heat-Stress Analysis
Reliable individual monitoring is essential for dairy cattle welfare and early heat stress detection in Precision Livestock Farming (PLF).Appearance Compensation in Volume Rendering
Can a volume that reproduces every external RGB view still have an incorrect density?What Really Works for Universal Multimodal Embeddings? A Controlled Study of Contrastive Training Strategies
Contrastive learning has become the standard paradigm for multimodal representation learning, aligning semantically matched pairs while separating mismatched ones in a shared embedding space.Use Of Convolutional Neural Networks In Detection Of Branch Dieback Disease In Pequi Trees
This study evaluates and compares five convolutional neural network (CNN) architectures, AlexNet, Inception, LeNet, VGG16, and MobileNet, for diagnosing branch dieback (seca-dos-ponteiros) in pequi…Deep Learning-based Semantic Segmentation of Dental Radiographs: Comparative Evaluation of PSPNet, DeepLabv3, UNet, and UNet++
Accurate and efficient analysis of dental radiographs has become increasingly important for disease diagnosis and clinical decision making.Global Disaster Risk Assessment Using World Risk Index Data: A Geospatial and Visual Analytics Approach
The world has seen several threats that include resource depletion, food security, poverty and inequality, difficulties associated with urbanization, migration, and environmental effects.BrainAid: Efficient Brain Tumor Detection Using Lightweight CNNs and Explainable AI for Resource-Constrained Environments
A brain tumor is an unusual growth of cells in the brain that can be cancerous or not, affecting normal brain function and causing serious risk to health.Region Aware Squeeze-and-Excitation Networks for Image Segmentation
Squeeze-and-Excitation (SE) modules improve convolutional networks by modeling channel-wise dependencies, but global average pooling collapses spatial structure into a single per-channel descriptor…VLCQ: Post-training quantization for deep neural networks using variable length coding
Quantization plays a crucial role in efficiently deploying deep learning models on resource-constrained devices.TIDE: Trajectory-Informed Skill Distillation for Efficient Text-to-Video Prompt Optimization
Text-to-video (T2V) models are highly sensitive to prompt specificity, while iterative prompt optimization typically improves generation quality only through repeated video generation and…Generative Quantum Machine Learning Methods for Cancer Detection using Augmented Datasets
Cancer detection using AI methods and image databases faces several challenges, including limited and imbalanced image datasets, long algorithm training times, and high-complexity feature generation.Drive3R: Block-wise Streaming Geometric Foundation Models for Autonomous Driving
High-fidelity closed-loop simulation for autonomous driving increasingly relies on dense multi-view 3D reconstruction.RIECNN: Real-Time Image Enhanced CNN for Traffic Sign Recognition
Traffic sign recognition plays a crucial role in the development of autonomous cars to reduce the accident rate and promote road safety.RootSLAM: Square Root Bundle Adjustment for Visual-Inertial SLAM
Efficient perception is a prerequisite for the small, low-power devices targeted by robotics, mixed reality, autonomous driving, and drone applications, all of which rely on Simultaneous…TRIG: Toward Measuring Texture Realism in Image Generation
This paper studies the backbone used by metrics for evaluating the quality of generated images.ExeWorldBench: Benchmarking Code-Based Executable 3D World Modeling
Coding agents are increasingly evolving beyond reproducing what a world looks like toward constructing executable worlds that capture how a world works.Structure-Aware Matching for Robust UAV Thermal-to-Satellite Geo-Localization
UAV thermal-to-satellite geo-localization localizes UAVs by matching real-time thermal images against georeferenced satellite images, enabling autonomous navigation in GNSS-denied and low-visibility…APEX: Asynchronous Prefix Denoising for Extreme Compression
Fewer latent tokens promise cheaper diffusion.CaptchaAgent: Verifiable Visual Reasoning for CAPTCHA Solving
Modern reasoning CAPTCHAs require fine-grained perception, compositional relation reasoning, and grounded browser interaction.