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

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

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 »

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

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 »

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

Medium · Machine Learning
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Membangun Sistem Deteksi Helm Pengendara Motor Menggunakan YOLOv8
Keselamatan lalu lintas merupakan salah satu isu penting, khususnya bagi pengguna sepeda motor. Continue reading on Medium »

Medium · Python
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Membangun Sistem Deteksi Helm Pengendara Motor Menggunakan YOLOv8
Keselamatan lalu lintas merupakan salah satu isu penting, khususnya bagi pengguna sepeda motor. Continue reading on Medium »

Medium · Machine Learning
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Part 1:
From Fish Classification to Vision Transformers: How Machines Learned to See Continue reading on Medium »

Medium · Data Science
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Part 1:
From Fish Classification to Vision Transformers: How Machines Learned to See Continue reading on Medium »

Medium · Programming
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Part 1:
From Fish Classification to Vision Transformers: How Machines Learned to See Continue reading on Medium »

Medium · Python
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Eksplorasi Deteksi Tepi pada Citra Digital Menggunakan Python
Pendahuluan Continue reading on Medium »
Medium · Python
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Dari Pixel ke AI: Bagaimana Komputer Memahami Sebuah Gambar
“Sebuah eksplorasi sederhana tentang bagaimana gambar digital diubah menjadi informasi yang dapat dipahami oleh Artificial Intelligence.”… Continue reading on M

Medium · Python
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Teaching a Random Forest to Tell Walking from Running: A Computer Vision Pipeline with Hand-Built...
How a 56-feature baseline became a 240-feature classifier at 86% accuracy, with per-class SHAP guiding every feature engineering decision. Continue reading on M

Medium · Deep Learning
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Vision Transformers Under Extreme Latency: Particle Tracking at the LHC
Particle physics has always been a data problem disguised as a physics problem and the LHC is now pushing us to rethink tracking as a… Continue reading on Data

Medium · Deep Learning
👁️ Computer Vision
⚡ AI Lesson
2mo ago
How Your Phone Unlocks in the Dark With Your Face
Thirty thousand invisible dots, a neural engine, and some surprisingly elegant geometry — all in the time it takes you to glance at your… Continue reading on Co

Medium · Data Science
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Cara Mudah Deteksi Tepi Gambar Menggunakan Algoritma Sobel di Python
Dalam dunia Computer Vision, deteksi tepi (edge detection) adalah salah satu teknik fundamental yang digunakan untuk mengidentifikasi… Continue reading on Mediu

Medium · Python
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Cara Mudah Deteksi Tepi Gambar Menggunakan Algoritma Sobel di Python
Dalam dunia Computer Vision, deteksi tepi (edge detection) adalah salah satu teknik fundamental yang digunakan untuk mengidentifikasi… Continue reading on Mediu

Medium · Deep Learning
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Implementasi YOLO26 untuk Deteksi Kesehatan Kelapa Sawit Melalui Citra Digital
Indonesia merupakan salah satu produsen kelapa sawit terbesar di dunia. Berdasarkan laporan Analisis Kinerja Perdagangan Kelapa Sawit… Continue reading on Mediu

Medium · Python
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Mengenal Lebih Dekat Deteksi Tepi Canny Pada Pengolahan Citra Digital dengan python dan opencv
Dalam dunia pengolahan citra digital, mendeteksi batas suatu objek merupakan hal yang sangat penting. Continue reading on Medium »
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
Modeling Subjective Urban Perception with Human Gaze
arXiv:2605.00764v1 Announce Type: cross Abstract: Urban perception describes how people subjectively evaluate urban environments, shaping how cities are experie
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
StableI2I: Spotting Unintended Changes in Image-to-Image Transition
arXiv:2605.04453v1 Announce Type: cross Abstract: In most real-world image-to-image (I2I) scenarios, existing evaluations primarily focus on instruction followi
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
Example-Based Object Detection
arXiv:2605.04501v1 Announce Type: cross Abstract: In recent years, object detection has achieved significant progress, especially in the field of open-vocabular
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
Efficient Geometry-Controlled High-Resolution Satellite Image Synthesis
arXiv:2605.04557v1 Announce Type: cross Abstract: High-resolution satellite images are often scarce and costly, especially for remote areas or infrequent events
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
From Diffusion to Rectified Flow: Rethinking Text-Based Segmentation
arXiv:2605.04590v1 Announce Type: cross Abstract: Text-based image segmentation aims to delineate object boundaries within an image from text prompts, offering
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
Reference-based Category Discovery: Unsupervised Object Detection with Category Awareness
arXiv:2605.04606v1 Announce Type: cross Abstract: Traditional one-shot detection methods have addressed the closed-set problem in object detection, but the high
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
FaithfulFaces: Pose-Faithful Facial Identity Preservation for Text-to-Video Generation
arXiv:2605.04702v1 Announce Type: cross Abstract: Identity-preserving text-to-video generation (IPT2V) empowers users to produce diverse and imaginative videos
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
DART: A Vision-Language Foundation Model for Comprehensive Rope Condition Monitoring
arXiv:2605.04943v1 Announce Type: cross Abstract: The condition monitoring (CM) of synthetic fibre ropes (SFRs) used in offshore, maritime, and industrial setti
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
What Matters in Practical Learned Image Compression
arXiv:2605.05148v1 Announce Type: cross Abstract: One of the major differentiators unlocked by learned codecs relative to their hard-coded traditional counterpa
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
Geometry-Aware State Space Model: A New Paradigm for Whole-Slide Image Representation
arXiv:2605.05164v1 Announce Type: cross Abstract: Accurate analysis of histopathological images is critical for disease diagnosis and treatment planning. Whole-
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
Materialist: Physically Based Editing Using Single-Image Inverse Rendering
arXiv:2501.03717v3 Announce Type: replace-cross Abstract: Achieving physically consistent image editing remains a significant challenge in computer vision. Exis
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
OpenVTON-Bench: A Large-Scale High-Resolution Benchmark for Controllable Virtual Try-On Evaluation
arXiv:2601.22725v3 Announce Type: replace-cross Abstract: Recent advances in diffusion models have significantly elevated the visual fidelity of Virtual Try-On
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
Topology-Preserving Data Augmentation for Ring-Type Polygon Annotations
arXiv:2603.14764v3 Announce Type: replace-cross Abstract: Geometric data augmentation is widely used in segmentation workflows, but polygon annotations are ofte

Dev.to · yqqwe
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Bedah Arsitektur Media TikTok: Membangun Engine Ekstraksi Video Tanpa Watermark Berperforma Tinggi
Pendahuluan Sebagai software engineer, kita sering terpukau oleh bagaimana platform skala...

Medium · Machine Learning
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Building Samaritan: A Multi-Camera Real-Time Face Recognition System in Python — Part 4
Add multi-camera support to a Python face recognition system using threaded OpenCV capture for faster, non-blocking real-time video Continue reading on Medium »

Medium · Deep Learning
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Building Samaritan: A Multi-Camera Real-Time Face Recognition System in Python — Part 4
Add multi-camera support to a Python face recognition system using threaded OpenCV capture for faster, non-blocking real-time video Continue reading on Medium »

Medium · Deep Learning
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Building Samaritan: A Multi-Camera Real-Time Face Recognition System in Python — Part 4
Add multi-camera support to a Python face recognition system using threaded OpenCV capture for faster, non-blocking real-time video Continue reading on Data Sci

Dev.to · CaraComp
👁️ Computer Vision
⚡ AI Lesson
2mo ago
UK Scanned 1.7M Faces. Seven Regulators Can't Agree on the Rules.
The growing regulatory gap in computer vision The news that the Metropolitan Police scanned 1.7...

Medium · Deep Learning
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Building an AI-Based Exam Monitoring System Using Computer Vision, YOLO, and OpenCV
Introduction Continue reading on Medium »

Medium · LLM
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Inside the GPU: The 28-Billion-Transistor Chip That Renders Your Entire World
Quick answer for the curious: A graphics card works by breaking a massive task — like rendering every pixel on your screen — into millions… Continue reading on

Dev.to · Todd Sullivan
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Building an Offline-First Livestock Counter with YOLOv8 and CoreML
I built a livestock counting app for smallholders. No internet required, no subscription, no server....

Dev.to · yqqwe
👁️ Computer Vision
⚡ AI Lesson
2mo ago
Deconstructing the TikTok Media Stack: Building a High-Performance, No-Watermark Extraction Engine
Introduction As developers, we are often fascinated by how global-scale platforms manage...
ArXiv cs.AI
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
2mo ago
Quantifying the human visual exposome with vision language models
arXiv:2605.03863v1 Announce Type: new Abstract: The visual environment is a fundamental yet unquantified determinant of mental health. While the concept of the
DeepCamp AI