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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
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

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 »

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

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

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...

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

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...

Medium · LLM
👁️ Computer Vision
⚡ AI Lesson
1mo ago
Unified Video Action (UVA) Model
Seminar #5 (Paper review) Continue reading on Medium »

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 »

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 »

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...

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 »

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

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
DeepCamp AI