Foundations

Computer Vision

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

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Skills in this topic
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CV Basics
beginner
Classify images with a pre-trained CNN
Modern CV Models
intermediate
Run YOLO for real-time object detection
Generative CV
advanced
Build a Stable Diffusion inference pipeline
All Reads (1,228) Articles (397)Blog Posts (263)Tutorials (83)Research Papers (469)News (16)
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
One Trajectory, One Token: Grounded Video Tokenization via Panoptic Sub-object Trajectory
arXiv:2505.23617v3 Announce Type: replace-cross Abstract: Effective video tokenization is critical for scaling transformer models for long videos. Current appro
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
Robust Building Damage Detection in Cross-Disaster Settings Using Domain Adaptation
arXiv:2603.14694v2 Announce Type: replace-cross Abstract: Rapid structural damage assessment from remote sensing imagery is essential for timely disaster respon
Mono Sense: Building a Tesla-Inspired Monocular Perception Pipeline
Medium · Deep Learning 👁️ Computer Vision ⚡ AI Lesson 1mo ago
Mono Sense: Building a Tesla-Inspired Monocular Perception Pipeline
One camera feed. Real Tesla footage. A full 3D world. Continue reading on Medium »
Deploying a Real-Time Object Detection API with YOLOv8 and FastAPI
Dev.to · Lich Priest 👁️ Computer Vision ⚡ AI Lesson 1mo ago
Deploying a Real-Time Object Detection API with YOLOv8 and FastAPI
A step‑by‑step guide to train, containerize, and serve a custom YOLOv8 model with low‑latency FastAPI endpoints, Docker, and GitHub Actions
Validating Passport Photos for 3 of the Strictest Government Portals (India, China, US)
Dev.to · whitetirocket 👁️ Computer Vision ⚡ AI Lesson 1mo ago
Validating Passport Photos for 3 of the Strictest Government Portals (India, China, US)
Validating Passport Photos for 3 of the Strictest Government Portals (India, China,...
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
Edge Deep Learning in Computer Vision and Medical Diagnostics: A Comprehensive Survey
arXiv:2605.06714v1 Announce Type: cross Abstract: Edge deep learning, a paradigm change reconciling edge computing and deep learning, facilitates real-time deci
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
XiYOLO: Energy-Aware Object Detection via Iterative Architecture Search and Scaling
arXiv:2605.06927v1 Announce Type: cross Abstract: Object detection on heterogeneous edge devices must satisfy strict energy, latency, and memory constraints whi
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
DPG-CD: Depth-Prior-Guided Cross-Modal Joint 2D-3D Change Detection
arXiv:2605.07151v1 Announce Type: cross Abstract: Urban spatial evolution is manifested not only through horizontal expansion but also through vertical structur
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
Amortized-Precision Quantization for Early-Exit Vision Transformers
arXiv:2605.07317v1 Announce Type: cross Abstract: Vision Transformers (ViTs) achieve strong performance across vision tasks, yet their deployment with low-preci
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
SAM 3D Animal: Promptable Animal 3D Reconstruction from Images in the Wild
arXiv:2605.07604v1 Announce Type: cross Abstract: 3D animal reconstruction in the wild remains challenging due to large species variation, frequent occlusions,
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
APEX: Assumption-free Projection-based Embedding eXamination Metric for Image Quality Assessment
arXiv:2605.07786v1 Announce Type: cross Abstract: As generative models achieve unprecedented visual quality, the gold standard for image evaluation remains trad
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
Semantic-Aware Adaptive Visual Memory for Streaming Video Understanding
arXiv:2605.07897v1 Announce Type: cross Abstract: Online streaming video understanding requires models to process continuous visual inputs and respond to user q
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
SCOPE: Structured Decomposition and Conditional Skill Orchestration for Complex Image Generation
arXiv:2605.08043v1 Announce Type: cross Abstract: While text-to-image models have made strong progress in visual fidelity, faithfully realizing complex visual i
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
EmambaIR: Efficient Visual State Space Model for Event-guided Image Reconstruction
arXiv:2605.08073v1 Announce Type: cross Abstract: Recent event-based image reconstruction methods predominantly rely on Convolutional Neural Networks (CNNs) and
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
A Computer Vision Pipeline for Individual-Level Behavior Analysis: Benchmarking on the Edinburgh Pig Dataset
arXiv:2509.12047v2 Announce Type: replace-cross Abstract: Animal behavior analysis plays a crucial role in understanding animal welfare, health status, and prod
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
Q-Probe: Scaling Image Quality Assessment to High Resolution via Context-Aware Agentic Probing
arXiv:2601.15356v5 Announce Type: replace-cross Abstract: Reinforcement Learning (RL) has empowered Multimodal Large Language Models (MLLMs) to achieve superior
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
LR-SGS: Robust LiDAR-Reflectance-Guided Salient Gaussian Splatting for Self-Driving Scene Reconstruction
arXiv:2603.12647v2 Announce Type: replace-cross Abstract: Recent 3D Gaussian Splatting (3DGS) methods have demonstrated the feasibility of self-driving scene re
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1mo ago
SteelDefectX: A Multi-Form Vision-Language Dataset and Benchmark for Steel Surface Defect Analysis
arXiv:2603.21824v2 Announce Type: replace-cross Abstract: Steel surface defect analysis is critical for industrial quality control, yet existing benchmarks rely
On-Device Pose Estimation on iOS: What Actually Works in Production (Not Just Research Papers)
Dev.to · Benjamin Pires 👁️ Computer Vision ⚡ AI Lesson 1mo ago
On-Device Pose Estimation on iOS: What Actually Works in Production (Not Just Research Papers)
Research papers on pose estimation show impressive accuracy numbers. Production apps on consumer...
MoCapAnything V2: End-to-End Motion Capture for Arbitrary Skeletons
Medium · Machine Learning 👁️ Computer Vision ⚡ AI Lesson 1mo ago
MoCapAnything V2: End-to-End Motion Capture for Arbitrary Skeletons
This project speaks for itself. It covers three crucial steps in one go: motion tracking, skeleton reconstruction, and 3D animation. What… Continue reading on M
How I Built a Perceptual Color Quantization Engine for LEGO Mosaics
Dev.to · BMBrick 👁️ Computer Vision ⚡ AI Lesson 1mo ago
How I Built a Perceptual Color Quantization Engine for LEGO Mosaics
The Problem Converting a photo into a LEGO mosaic sounds simple: resize the image, find...
Unified Video Action (UVA) Model
Medium · LLM 👁️ Computer Vision ⚡ AI Lesson 1mo ago
Unified Video Action (UVA) Model
Seminar #5 (Paper review) Continue reading on Medium »
# CNN vs Vision Transformer on CIFAR-10: A Beginner-Friendly Experiment
Medium · Deep Learning 👁️ Computer Vision ⚡ AI Lesson 1mo ago
# CNN vs Vision Transformer on CIFAR-10: A Beginner-Friendly Experiment
## Why I wrote this experiment Continue reading on Medium »
From Pixels to Predictions: How CNNs Actually Work
Medium · Deep Learning 👁️ Computer Vision ⚡ AI Lesson 1mo ago
From Pixels to Predictions: How CNNs Actually Work
Understanding how Convolutional Neural Networks transform raw pixel data into intelligent predictions. Continue reading on Medium »
VXN-RAMNet (VisionX Routine Adaptive Memory Network)
Dev.to · 𝗔𝗷𝗮𝘆 𝗦𝗼𝗻𝗶 👁️ Computer Vision ⚡ AI Lesson 1mo ago
VXN-RAMNet (VisionX Routine Adaptive Memory Network)
What if navigation systems could remember routes visually instead of depending entirely on...
Computer Vision Is Rebuilding the Fitting Room
Medium · AI 👁️ Computer Vision ⚡ AI Lesson 1mo ago
Computer Vision Is Rebuilding the Fitting Room
The models, the stack, the ROI — no fluff Continue reading on Medium »
Why Most Tools Fail at Table Extraction (And How I Built a Vision-First Solution)
Medium · Data Science 👁️ Computer Vision ⚡ AI Lesson 1mo ago
Why Most Tools Fail at Table Extraction (And How I Built a Vision-First Solution)
Conquering the nightmare of Borderless, Scanned, and Merged-Cell Tables with a Hybrid AI Pipeline Continue reading on Medium »
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
Intelligent CCTV for Urban Design: AI-Based Analysis of Soft Infrastructure at Intersections
arXiv:2605.05402v1 Announce Type: new Abstract: Artificial intelligence (AI) and computer vision are transforming transportation data collection. This study int
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
MolRecBench-Wild: A Real-World Benchmark for Optical Chemical Structure Recognition
arXiv:2605.05832v1 Announce Type: new Abstract: Optical Chemical Structure Recognition (OCSR) aims to translate molecular diagrams in scientific literature into
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
Tamaththul3D: High-Fidelity 3D Saudi Sign Language Avatars from Monocular Video
arXiv:2605.05367v1 Announce Type: cross Abstract: Arabic Sign Language (ArSL) and its dialects serve approximately 400 million Arabic speakers worldwide, yet th
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
CFE-PPAR: Compression-friendly encryption for privacy-preserving action recognition leveraging video transformers
arXiv:2605.05692v1 Announce Type: cross Abstract: Privacy-preserving action recognition (PPAR) enables machines to understand human activities in videos without
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
The autoPET3 Challenge -- Automated Lesion Segmentation in Whole-Body PET/CT - Multitracer Multicenter Generalization
arXiv:2605.05775v1 Announce Type: cross Abstract: We report the design and results of the third autoPET challenge (MICCAI 2024), which benchmarked automated les
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
VideoRouter: Query-Adaptive Dual Routing for Efficient Long-Video Understanding
arXiv:2605.05848v1 Announce Type: cross Abstract: Video large multimodal models increasingly face a scalability bottleneck: long videos produce excessively long
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
iPhoneBlur: A Difficulty-Stratified Benchmark for Consumer Device Motion Deblurring
arXiv:2605.05990v1 Announce Type: cross Abstract: Motion blur restoration on consumer mobile devices is typically evaluated using aggregate metrics that obscure
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
Adding Thermal Awareness to Visual Systems in Real-Time via Distilled Diffusion Models
arXiv:2605.06010v1 Announce Type: cross Abstract: Purely RGB-based vision models often fail to provide reliable cues in challenging scenarios such as nighttime
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
Dynamic Pondering Sparsity-aware Mixture-of-Experts Transformer for Event Stream based Visual Object Tracking
arXiv:2605.06112v1 Announce Type: cross Abstract: Despite significant progress, RGB-based trackers remain vulnerable to challenging imaging conditions, such as
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
Autoregressive Visual Generation Needs a Prologue
arXiv:2605.06137v1 Announce Type: cross Abstract: In this work, we propose Prologue, an approach to bridging the reconstruction-generation gap in autoregressive
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
ActCam: Zero-Shot Joint Camera and 3D Motion Control for Video Generation
arXiv:2605.06667v1 Announce Type: cross Abstract: For artistic applications, video generation requires fine-grained control over both performance and cinematogr
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
Multi-Scale Spectral Attention Module-based Hyperspectral Segmentation in Autonomous Driving Scenarios
arXiv:2506.18682v2 Announce Type: replace-cross Abstract: Recent advances in autonomous driving (AD) have highlighted the potential of hyperspectral imaging (HS
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
SoccerMaster: A Vision Foundation Model for Soccer Understanding
arXiv:2512.11016v2 Announce Type: replace-cross Abstract: Soccer understanding has recently garnered growing research interest due to its domain-specific comple
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
CSMCIR: CoT-Enhanced Symmetric Alignment with Memory Bank for Composed Image Retrieval
arXiv:2601.03728v2 Announce Type: replace-cross Abstract: Composed Image Retrieval (CIR) enables users to search for target images using both a reference image
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
DC-DiT: Adaptive Compute and Elastic Inference for Visual Generation via Dynamic Chunking
arXiv:2603.06351v2 Announce Type: replace-cross Abstract: Diffusion Transformers rely on static patchify tokenization, assigning the same token budget to smooth
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 2mo ago
ChArtist: Generating Pictorial Charts with Unified Spatial and Subject Control
arXiv:2603.14209v2 Announce Type: replace-cross Abstract: A pictorial chart is an effective medium for visual storytelling, seamlessly integrating visual elemen
Number systems conversion for dummies
Medium · Programming 👁️ Computer Vision ⚡ AI Lesson 2mo ago
Number systems conversion for dummies
There are four widely used number systems: decimal (10), binary (2), octal (8), and hexadecimal (16). As humans, we use the decimal system. Continue reading on
Panduan Praktis Optimasi Pencahayaan Citra Digital dengan Python
Medium · Python 👁️ Computer Vision ⚡ AI Lesson 2mo ago
Panduan Praktis Optimasi Pencahayaan Citra Digital dengan Python
Mengapa Pencahayaan Itu Krusial? ​Pernahkah Anda mengambil foto di kondisi minim cahaya dan mendapati hasilnya sangat gelap hingga… Continue reading on Medium »
Efficiency vs. Precision: A Python Deep Dive into Faster R-CNN and SSD PyTorch
Medium · Python 👁️ Computer Vision ⚡ AI Lesson 2mo ago
Efficiency vs. Precision: A Python Deep Dive into Faster R-CNN and SSD PyTorch
In the rapidly evolving landscape of artificial intelligence, selecting the optimal architecture for computer vision is rarely a simple… Continue reading on Obj
Computer Vision Fundamentals: CNN Architectures
Medium · Deep Learning 👁️ Computer Vision ⚡ AI Lesson 2mo ago
Computer Vision Fundamentals: CNN Architectures
The landmark designs that shaped modern computer vision, from LeNet to EfficientNet. Continue reading on Medium »
What If You Could Find Films by How They Feel Visually?
Medium · Python 👁️ Computer Vision ⚡ AI Lesson 2mo ago
What If You Could Find Films by How They Feel Visually?
There’s a scene in Life of Pi where the ocean at night fills with bioluminescent green light. The whole frame glows. It’s one of the most… Continue reading on M