Foundations
Computer Vision
Object detection, segmentation, YOLO, CLIP, and vision-language models
Skills in this topic
3 skills — Sign in to track your progress
Dev.to AI
👁️ Computer Vision
⚡ AI Lesson
2mo ago
How I Built a High-Precision AI Manga OCR Translator for Hardcore Readers
Most OCR tools are built for clean text. Receipts. Documents. Screenshots. Menus. Maybe a street sign if the lighting is kind. Manga is none of those things. A

Medium · LLM
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Retina: A Production-Grade Object Detection Library in Python for Robotics, Computer Vision, and…
Open-Vocabulary Foundation Models, Deep Learning, and Classical Geometry into a Unified Object Detection Library Continue reading on Stackademic »

Dev.to · Muhammad umair akram
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Fine-tuning YOLOv11 to detect stamps and signatures on banking documents - a practical walkthrough
Every day, banking ops teams manually review thousands of documents - loan applications, KYC forms,...

Dev.to · Muhammad umair akram
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Fine-tuning YOLOv11 to detect stamps and signatures on banking documents - a practical walkthrough
Every day, banking ops teams manually review thousands of documents - loan applications, KYC forms,...

Dev.to · Calvin Z
👁️ Computer Vision
⚡ AI Lesson
2mo ago
How I Got MediaPipe Face Landmarker Running in the Browser with Zero Build Tools (And the Import Bug That Wasted My Week)
I built facecalculators.com a free, privacy-first face shape detector that runs entirely in the...

Medium · Machine Learning
👁️ Computer Vision
⚡ AI Lesson
2mo ago
What is Camera Calibration? How It Helps in Computer Vision Tasks
A ground truth guide to how cameras distort reality and why calibration is critical for accurate computer vision systems. Continue reading on Medium »

Medium · Deep Learning
👁️ Computer Vision
⚡ AI Lesson
2mo ago
What is Camera Calibration? How It Helps in Computer Vision Tasks
A ground truth guide to how cameras distort reality and why calibration is critical for accurate computer vision systems. Continue reading on Medium »
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
FruitProM-V2: Robust Probabilistic Maturity Estimation and Detection of Fruits and Vegetables
arXiv:2604.26084v1 Announce Type: cross Abstract: Accurate fruit maturity identification is essential for determining harvest timing, as incorrect assessment di
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
Seeking Consensus: Geometric-Semantic On-the-Fly Recalibration for Open-Vocabulary Remote Sensing Semantic Segmentation
arXiv:2604.26221v1 Announce Type: cross Abstract: Open-vocabulary semantic segmentation (OVSS) in remote sensing images is a promising task that employs textual
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
MetaSR: Content-Adaptive Metadata Orchestration for Generative Super-Resolution
arXiv:2604.26244v1 Announce Type: cross Abstract: We study generative super-resolution (SR) in real-world scenarios where content and degradations vary across d
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
QYOLO: Lightweight Object Detection via Quantum Inspired Shared Channel Mixing
arXiv:2604.26435v1 Announce Type: cross Abstract: The rapid advancement of object detection architectures has positioned single stage detectors as the dominant
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
SynSur: An end-to-end generative pipeline for synthetic industrial surface defect generation and detection
arXiv:2604.26633v1 Announce Type: cross Abstract: The bottleneck in learning-based industrial defect detection is often limited not by model capacity, but by th
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
MemOVCD: Training-Free Open-Vocabulary Change Detection via Cross-Temporal Memory Reasoning and Global-Local Adaptive Rectification
arXiv:2604.26774v1 Announce Type: cross Abstract: Open-vocabulary change detection aims to identify semantic changes in bi-temporal remote sensing images withou
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
ViCrop-Det: Spatial Attention Entropy Guided Cropping for Training-Free Small-Object Detection
arXiv:2604.26806v1 Announce Type: cross Abstract: Transformer-based architectures have established a dominant paradigm in global semantic perception; however, t
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
GoViG: Goal-Conditioned Visual Navigation Instruction Generation via Multimodal Reasoning
arXiv:2508.09547v2 Announce Type: replace-cross Abstract: We introduce Goal-Conditioned Visual Navigation Instruction Generation (GoViG), a new task that aims t
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
Consist-Retinex: One-Step Noise-Emphasized Consistency Training Accelerates High-Quality Retinex Enhancement
arXiv:2512.08982v2 Announce Type: replace-cross Abstract: Retinex-based low-light image enhancement benefits from separating reflectance and illumination, yet r

Medium · Deep Learning
👁️ Computer Vision
⚡ AI Lesson
2mo ago
How convolutional Neural Networks found heritage from 1574
How do convolutional Neural Networks in Machine Learning and a Historical Heritage founded in 1574 connect? Continue reading on Medium »

Dev.to · Jimmy Guerrero
👁️ Computer Vision
⚡ AI Lesson
2mo ago
May 1 - Best of WACV 2026
Join us on May 1 for day two of the Best of WACV 2026 series of virtual events. Register for the...

Dev.to · CaraComp
👁️ Computer Vision
⚡ AI Lesson
2mo ago
One Frame Fools You. Three Frames Catch the Deepfake.
Analyzing the geometric failure points of synthetic media For developers working in computer vision...

Medium · Deep Learning
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Computer Vision Software Development: Applications, Benefits, and Use Cases
Build intelligent visual systems with advanced Computer Vision Software Development to automate processes, enhance accuracy, and unlock… Continue reading on Med

Medium · Python
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Sengaja “Merusak” Gambar demi Ilmu: Eksperimen Noise pada Citra Digital
Bagaimana menambahkan gangguan buatan ke gambar bisa menjadi langkah paling penting sebelum komputer belajar “melihat”. Continue reading on Medium »

Dev.to · Silicon Signals
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Edge AI Camera Design: Integrating Vision at the Edge
Rethinking Cameras The conventional camera was meant to record and store video content....
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
BifDet: A 3D Bifurcation Detection Dataset for Airway-Tree Modeling
arXiv:2604.24999v1 Announce Type: cross Abstract: Thoracic Computed Tomography (CT) scans offer detailed insights into the intricate branching network of the ai
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
At the Edge of the Heart: ULP FPGA-Based CNN for On-Device Cardiac Feature Extraction in Smart Health Sensors for Astronauts
arXiv:2604.25799v1 Announce Type: cross Abstract: The convergence of accelerating human spaceflight ambitions and critical terrestrial health monitoring demands
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
No Pedestrian Left Behind: Real-Time Detection and Tracking of Vulnerable Road Users for Adaptive Traffic Signal Control
arXiv:2604.25887v1 Announce Type: cross Abstract: Current pedestrian crossing signals operate on fixed timing without adjustment to pedestrian behavior, which c
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
AIDOVECL: AI-generated Dataset of Outpainted Vehicles for Eye-level Classification and Localization
arXiv:2410.24116v3 Announce Type: replace-cross Abstract: Image labeling is a critical bottleneck in the development of computer vision technologies, often cons
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
OmniAlpha: Aligning Transparency-Aware Generation via Multi-Task Unified Reinforcement Learning
arXiv:2511.20211v2 Announce Type: replace-cross Abstract: Transparency-aware generation requires modeling not only RGB appearance but also alpha-based opacity a

Medium · Deep Learning
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Building Samaritan: A Multi-Camera Real-Time Face Recognition System in Python — Part 2
Build real-time face recognition in Python with OpenCV, DeepFace, ArcFace embeddings, and live webcam-based identity matching. Continue reading on Medium »

Dev.to · Jimmy Guerrero
👁️ Computer Vision
⚡ AI Lesson
2mo ago
April 30 - Best of WACV 2026 (Day 1)
Join us on April 30 for day one of the Best of WACV 2026 series of virtual events. Register for...

Dev.to · GANGIREDDIGARI MITHUN PRAKASH REDDY
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Computer Vision–Based Injury Detection and First-Aid Guidance System
Introduction In today’s fast-paced world, getting quick medical guidance for minor skin...

Medium · Machine Learning
👁️ Computer Vision
⚡ AI Lesson
2mo ago
The Limits of Image Reconstruction in Low-SNR Settings
How ambiguity and noise lead to structured simplification Continue reading on Medium »

Medium · Deep Learning
👁️ Computer Vision
⚡ AI Lesson
2mo ago
The Limits of Image Reconstruction in Low-SNR Settings
How ambiguity and noise lead to structured simplification Continue reading on Medium »
The Verge
👁️ Computer Vision
⚡ AI Lesson
2mo ago
The resurrected Commodore 64 is getting a facelift like the original
The creators of the C64 Ultimate, a recreation of the iconic '80s personal computer that uses an FPGA chip to accurately replicate the original, have announced
Medium · Machine Learning
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Customized Object Detection Using Multi-Frame Analysis
Enhances object detection using multi-frame analysis and representative frame selection. Continue reading on Tiny Prism Labs Private Limited »

Medium · AI
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Image Classification for AI: A Practical Guide for 2026
Practical guide to image classification for AI: learn how to manage datasets, ensure accuracy, and scale your computer vision projects. Continue reading on Medi

Medium · Deep Learning
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Before AI Sees, Optics Decide
Why optical design determines machine vision performance Continue reading on Medium »
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
WeatherSeg: Weather-Robust Image Segmentation using Teacher-Student Dual Learning and Classifier-Updating Attention
arXiv:2604.22824v2 Announce Type: cross Abstract: WeatherSeg, an advanced semi-supervised segmentation framework, addresses autonomous driving's environmental p
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
MetaEarth3D: Unlocking World-scale 3D Generation with Spatially Scalable Generative Modeling
arXiv:2604.22828v1 Announce Type: cross Abstract: Recent generative AI models have achieved remarkable breakthroughs in language and visual understanding. Howev
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
OAMVOS:2nd Report for 5th PVUW MOSE Track
arXiv:2604.22837v1 Announce Type: cross Abstract: SAM-based dense trackers provide strong short-term mask propagation but remain fragile under long occlusion, f
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
From Skeletons to Pixels: Few-Shot Precise Event Spotting via Representation and Prediction Distillation
arXiv:2604.22839v1 Announce Type: cross Abstract: Precise Event Spotting (PES) is essential in fast-paced sports such as tennis, where fine-grained events occur
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
Probing Visual Planning in Image Editing Models
arXiv:2604.22868v1 Announce Type: cross Abstract: Visual planning represents a crucial facet of human intelligence, especially in tasks that require complex spa
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
Hard to See, Hard to Label: Generative and Symbolic Acquisition for Subtle Visual Phenomena
arXiv:2604.22990v2 Announce Type: cross Abstract: Subtle visual anomalies such as hairline cracks, sub-millimeter voids, and low-contrast inclusions are structu
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
DeepSignature: Digitally Signed, Content-Encoding Watermarks for Robust and Transparent Image Authentication
arXiv:2604.23016v1 Announce Type: cross Abstract: AI-powered generative models have significantly expanded the possibilities for editing, manipulating, and crea
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
Sphere-Depth: A Benchmark for Depth Estimation Methods with Varying Spherical Camera Orientations
arXiv:2604.23432v1 Announce Type: cross Abstract: Reliable depth estimation from spherical images is crucial for 360{\deg} vision in robotic navigation and imme
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
Emotion-Conditioned Short-Horizon Human Pose Forecasting with a Lightweight Predictive World Model
arXiv:2604.23532v1 Announce Type: cross Abstract: Short-term human pose prediction plays a crucial role in interactive systems, assistive robots, and emotion-aw
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
ResAF-Net: An Anchor-Free Attention-Based Network for Tree Detection and Agricultural Mapping in Palestine
arXiv:2604.23653v1 Announce Type: cross Abstract: Reliable agricultural data is essential for food security, land-use planning, and economic resilience, yet in
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
Zoom In, Reason Out: Efficient Far-field Anomaly Detection in Expressway Surveillance Videos via Focused VLM Reasoning Guided by Bayesian Inference
arXiv:2604.23724v2 Announce Type: cross Abstract: Expressway video anomaly detection is essential for safety management. However, identifying anomalies across d
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
Mapping License Plate Recoverability Under Extreme Viewing Angles for Oppor-tunistic Urban Sensing
arXiv:2604.23814v1 Announce Type: cross Abstract: Urban environments contain many imaging sensors built for specific purposes, including ATM, body-worn, CCTV, a
DeepCamp AI