Foundations

Computer Vision

Object detection, segmentation, YOLO, CLIP, and vision-language models

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CV Basics
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Classify images with a pre-trained CNN
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Run YOLO for real-time object detection
Generative CV
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Build a Stable Diffusion inference pipeline
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How AI Companies Use Image Annotation to Train Models
Medium · AI 👁️ Computer Vision ⚡ AI Lesson 2d ago
How AI Companies Use Image Annotation to Train Models
Artificial intelligence has now become part of our daily lives in a way most people may not even realize it. With applications in face… Continue reading on Medi
Reddit r/deeplearning 👁️ Computer Vision ⚡ AI Lesson 2d ago
🔬 New paper: IMGNet — face verification through relational patterns, not absolute values.
Inspired by a linguistic observation: "matur suwun" (Javanese) and "hatur nuhun" (Sundanese) — two phrases from Indonesia that mean the same thing despite compl
WebGPU is not WebGL 3.0
Medium · JavaScript 👁️ Computer Vision ⚡ AI Lesson 2d ago
WebGPU is not WebGL 3.0
A practical introduction to WebGPU, WGSL, render pipelines, compute shaders, and the future of high-performance graphics on the web. Continue reading on Medium
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
SiamixFormer: a fully-transformer Siamese network with temporal Fusion for accurate building detection and change detection in bi-temporal remote sensing images
arXiv:2208.00657v2 Announce Type: cross Abstract: Building detection and change detection using remote sensing images can help urban and rescue planning. Moreov
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
Double-Helix Active Geometry: LiDAR-Anchored Multi-View Depth with Selective Abstention
arXiv:2607.02561v1 Announce Type: cross Abstract: Consumer depth sensors such as the LiDAR scanner on recent iPhones provide metric range, but their useful rang
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
Additive Causal Construction for Transferable and Reconfigurable Cross-System Learning in Multi-Source Image Fusion
arXiv:2607.02572v1 Announce Type: cross Abstract: In multi-source image fusion scenarios, heterogeneous inputs are typically driven by distinct generative mecha
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
Fusion: A Framework for Unified Sequential Token AdaptatIon in VisiOn TraNsformers
arXiv:2607.02612v1 Announce Type: cross Abstract: Vision Transformers achieve strong image classification accuracy but process all image regions with nearly the
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting
arXiv:2607.02637v1 Announce Type: cross Abstract: Recent generative models can produce high-quality synthetic images, offering scalable training training data f
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models
arXiv:2607.02718v1 Announce Type: cross Abstract: Recent advances in large-scale image generative models enable photorealistic scene synthesis with controllable
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
R3D: Quantitative 3D Spatial Reasoning for Egocentric Wearables
arXiv:2607.02921v1 Announce Type: cross Abstract: Quantitative 3D spatial reasoning from egocentric RGB-D video is a critical capability for next-generation wea
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
Pooling-Based Context Modeling for Convolution-Free Deep Image Prior
arXiv:2607.02952v1 Announce Type: cross Abstract: Convolutional Neural Networks (CNNs) achieve strong denoising performance by exploiting spatial context from n
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
Attention-Guided Efficientnet Architecture For Precise Criminal Identification in Surveillance Images
arXiv:2607.03073v1 Announce Type: cross Abstract: Criminal identification from surveillance imagery has become a critical research area in intelligent forensic
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
A Multi-Task Deep Learning Framework for Real-Time Intelligent Video Surveillance with Temporal Event Validation
arXiv:2607.03131v1 Announce Type: cross Abstract: Modern video surveillance systems generate far more video streams than human operators can effectively monitor
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
Semantic Segmentation-Driven Image-Level Diagnosis of Liver Cancers in Hematoxylin and Eosin Histopathology Images
arXiv:2607.03253v1 Announce Type: cross Abstract: As hematoxylin & eosin (H&E) staining constitutes the primary entry point in routine diagnostic workflows, com
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
Latent Clarity: Bridging World-Model Kinematics to Semantic Manifolds for Video Anomaly Anticipation
arXiv:2607.03558v1 Announce Type: cross Abstract: Continuous video anomaly detection is dominated by reactive Multiple Instance Learning (MIL) that collapses sp
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
PLGSA-Transformer: Periocular Landmark-Guided Attention with Occlusion-Adaptive Cosine Thresholding for Cross-Modal Masked and Unmasked Face Recognition
arXiv:2607.03581v1 Announce Type: cross Abstract: The widespread adoption of facial masks, accelerated by COVID-19 and mandated in security-sensitive settings,
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
ClinOCR-Bench: A Comprehensive Clinical Scanned Document Dataset for Optical Character Recognition Model Evaluation
arXiv:2607.03650v1 Announce Type: cross Abstract: Extracting textual information from scanned medical documents, such as external laboratory reports and manuall
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
Rethinking Depth Pruning for Vision Transformers: A Heterogeneity-Aware Perspective
arXiv:2607.03784v1 Announce Type: cross Abstract: While prior studies have successfully compressed vision Transformers (ViTs) through various pruning techniques
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
CineMobile: On-Device Image-to-Video Diffusion for Cinematic Camera Motion Generation
arXiv:2607.03803v1 Announce Type: cross Abstract: The growing demand for image-to-video creation on mobile devices has increasingly focused on cinematic motion
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-centric 3D Scene Generation
arXiv:2607.03819v1 Announce Type: cross Abstract: Challenges remain in ego-centric 3D scene generation due to limited view overlap and the dominant influence of
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
GeoSelect: Spatial-Program Execution for Training-Free Referring Remote Sensing Image Segmentation
arXiv:2607.03869v1 Announce Type: cross Abstract: Referring remote sensing image segmentation isolates the object named by a natural-language expression in an a
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
SOV-CAD: Stepwise Orthographic Views Guided CAD Modeling Sequence Reconstruction
arXiv:2607.04119v1 Announce Type: cross Abstract: Reconstructing Computer-Aided Design (CAD) modeling sequences from images is crucial for preserving design int
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding
arXiv:2607.04147v1 Announce Type: cross Abstract: Automated fine-grained perception of calligraphy styles--a task vital to cultural heritage preservation--remai
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
CRISP: A Spatiotemporal Camera-Radar Backbone for Driving via Forecasting-Based World-Model Pretraining
arXiv:2607.04541v1 Announce Type: cross Abstract: Camera-radar (CR) fusion is a practical sensing configuration for autonomous driving, but existing models are
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
LCPNet: Latent Consistent Proximal Unfolding Network for Infrared Small Target Detection
arXiv:2607.04603v1 Announce Type: cross Abstract: Infrared small target detection (IRSTD) aims to identify long distance small targets from complex infrared bac
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
Do All Visual Tokens Matter Equally? Object-Evidence Preserving Token Merging for Vision-Language Retrieval
arXiv:2607.04605v1 Announce Type: cross Abstract: Multi-vector vision-language retrieval preserves fine-grained visual evidence through maximum-similarity late
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
Targeted Structure Completion for Sparse-View 3D Reconstruction in Autonomous Driving
arXiv:2607.04661v1 Announce Type: cross Abstract: Reconstructing 3D scene structures from sparse, low-overlap observations remains a fundamental challenge in au
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
EventCoT: Event-centric Video Chain-of-thought for Reasoning Temporal Localization
arXiv:2607.04872v1 Announce Type: cross Abstract: Reasoning temporal localization (RTL) requires a model to generate an answer that itself contains the time int
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
MemPose: Category-level Object Pose Estimation with Memory
arXiv:2607.04930v1 Announce Type: cross Abstract: In the pursuit of robust and generalizable category-level object pose estimation, most existing methods adopt
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
From Fixed to Free Cameras: Calibration-Free View-Robust Vision-Language-Action Model
arXiv:2607.05396v1 Announce Type: cross Abstract: Real-world robot deployment rarely maintains the training-stage camera setup, where cameras often experience r
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment
arXiv:2202.14019v3 Announce Type: replace-cross Abstract: Maintaining proper form while exercising is important for preventing injuries and maximizing muscle ma
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
Learning to Visually Connect Actions and their Effects
arXiv:2401.10805v4 Announce Type: replace-cross Abstract: We introduce the novel concept of visually Connecting Actions and Their Effects (CATE) in video unders
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
Quick ViTs: Speeding up Vision Transformers through Equivariance
arXiv:2505.15441v5 Announce Type: replace-cross Abstract: Natural images exhibit strong geometric regularities: local structures, such as edges, corners, and te
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection
arXiv:2506.03162v3 Announce Type: replace-cross Abstract: The rapid proliferation of surveillance cameras has increased the demand for automated violence detect
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
Extending Foundational Monocular Depth Estimators to Fisheye Cameras with Calibration Tokens
arXiv:2508.04928v5 Announce Type: replace-cross Abstract: We propose a method to extend foundational monocular depth estimators (FMDEs), trained on perspective
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests
arXiv:2510.09458v2 Announce Type: replace-cross Abstract: Interest in forestry automation is growing alongside rapid advances in deep learning. In particular, t
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
Tracing 3D Anatomy in 2D Strokes: A Multi-Stage Projection Driven Approach to Cervical Spine Fracture Identification
arXiv:2601.15235v4 Announce Type: replace-cross Abstract: Cervical spine fractures require rapid and accurate diagnosis, yet automatic CT interpretation remains
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
MetricAnything: Scaling Metric Depth Pretraining with Noisy Heterogeneous Sources
arXiv:2601.22054v2 Announce Type: replace-cross Abstract: Scaling has powered recent advances in vision foundation models, yet extending this paradigm to metric
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2d ago
Human-like Object Grouping in Self-supervised Vision Transformers
arXiv:2603.13994v2 Announce Type: replace-cross Abstract: Vision foundation models trained with self-supervised objectives achieve strong performance across div
OpenCV 5.0 Is a Big Deal — With One Big Asterisk
Medium · LLM 👁️ Computer Vision ⚡ AI Lesson 2d ago
OpenCV 5.0 Is a Big Deal — With One Big Asterisk
OpenCV 5.0, released on June 4, 2026, is a major update to the computer vision library. It replaces the legacy DNN engine with a modern… Continue reading on Med
How to hide strings in C++ binaries with consteval
Dev.to · LulLaS 👁️ Computer Vision ⚡ AI Lesson 2d ago
How to hide strings in C++ binaries with consteval
How to hide strings in C++ binaries with consteval — and why it beats xorstr The...
Designing a Clean Computer Vision UI with OpenCV
Medium · Programming 👁️ Computer Vision ⚡ AI Lesson 2d ago
Designing a Clean Computer Vision UI with OpenCV
Default overlays look like debug output Continue reading on Medium »
Designing a Clean Computer Vision UI with OpenCV
Medium · Python 👁️ Computer Vision ⚡ AI Lesson 2d ago
Designing a Clean Computer Vision UI with OpenCV
Default overlays look like debug output Continue reading on Medium »
Instead of Feeding an Image to the Model, What If You Rotated the Model Toward the Image?
Medium · LLM 👁️ Computer Vision ⚡ AI Lesson 2d ago
Instead of Feeding an Image to the Model, What If You Rotated the Model Toward the Image?
There’s a CVPR 2026 paper out of the Institute of Automation, Chinese Academy of Sciences with a genuinely odd premise. To appreciate why… Continue reading on M
Reddit r/deeplearning 👁️ Computer Vision ⚡ AI Lesson 2d ago
Searching for a model which detects spread page of a book
I'm new to this sub, so sorry if this question is not appropriate for here. I'm currently developing a document scanner app that specializes in cropping the pag
Medium · Machine Learning 👁️ Computer Vision ⚡ AI Lesson 3d ago
Computer Vision: More Than Just Teaching Machines to See
When I first started learning about Artificial Intelligence, I thought it was all about robots, chatbots, and complex programming. During… Continue reading on M
Medium · Python 👁️ Computer Vision ⚡ AI Lesson 3d ago
Computer Vision: More Than Just Teaching Machines to See
When I first started learning about Artificial Intelligence, I thought it was all about robots, chatbots, and complex programming. During… Continue reading on M
LingBot-Vision: masked boundary modeling for self-supervised pretraining (0.296 NYUv2 linear-probe RMSE at 1.1B vs 0.309 for DINOv3-7B, trails on ImageNet); weights in 4 sizes[R]
Reddit r/MachineLearning 👁️ Computer Vision ⚡ AI Lesson 3d ago
LingBot-Vision: masked boundary modeling for self-supervised pretraining (0.296 NYUv2 linear-probe RMSE at 1.1B vs 0.309 for DINOv3-7B, trails on ImageNet); weights in 4 sizes[R]
<img src="https://preview.redd.it/ha08vg49bnbh1.png?width=140&height=78&auto=webp&s=cbd1e4aed6c0571b7f0acee245c21543fe356719" alt="LingBot-Vision: m