Foundations

Computer Vision

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

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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 3w ago
Where Does Texture Evidence Live in SAM? Features, Proposal Masks, and Texture Segmentation
arXiv:2606.14755v1 Announce Type: cross Abstract: Texture segmentation stresses foundation segmentation because meaningful regions are defined by material or re
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 3w ago
An Empirical Analysis of Optimization Dynamics and Sparsity Boundaries in Large-Scale Pedestrian Attribute Recognition
arXiv:2606.14770v1 Announce Type: cross Abstract: Pedestrian Attribute Recognition (PAR) is critical for video surveillance, enabling forensic search and re-ide
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 3w ago
Double-Helix Vision (DH-V2): A Geometry-Based Visual Sampler for Bandwidth-Constrained Perception
arXiv:2606.14773v1 Announce Type: cross Abstract: We present Double-Helix Vision (DH), a geometry-based visual sampler that compresses 2D images into compact 1D
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 3w ago
Mask Proposal Voting Based on Geodesic Framework for Robust Image Segmentation
arXiv:2606.14912v1 Announce Type: cross Abstract: Despite great advances, finding accurate segmentation remains a challenging task, especially in scenarios with
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 3w ago
Multi-Modal Attention for Automated Disaster Damage Assessment Using Remote Sensing Imagery and Deep Learning
arXiv:2606.14963v1 Announce Type: cross Abstract: Timely and accurate disaster damage assessment is crucial for effective emergency response, resource allocatio
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 3w ago
Selective Synergistic Learning for Video Object-Centric Learning
arXiv:2606.15527v1 Announce Type: cross Abstract: Typical video object-centric learning (VOCL) approaches employ slot-based frameworks that rely on reconstructi
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 3w ago
MADAR: An Address-Free Processor
arXiv:2606.15535v1 Announce Type: cross Abstract: In a modern processor, computing is the cheap part. Most of its area and energy go to \emph{addressing} -- mov
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 3w ago
Leveraging Deep Learning for Object and Position Recognition of Load Carriers for Autonomous Logistics Vehicles
arXiv:2606.16042v1 Announce Type: cross Abstract: This work explores the use of artificial intelligence in mobile robotics to achieve autonomous detection and p
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 3w ago
A Comprehensive Survey of Medical Image Segmentation: Challenges, Benchmarks, and Beyond
arXiv:2606.16153v1 Announce Type: cross Abstract: Medical image segmentation plays a critical role in clinical diagnostics, treatment planning, disease monitori
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 3w ago
EgoPhys: Learning Generalizable Physics Models of Deformable Objects from Egocentric Video
arXiv:2606.16202v1 Announce Type: cross Abstract: Humans naturally understand object physics through everyday interactions, but faithfully predicting complex de
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 3w ago
Learned Image Compression for Vision-Language-Action Models
arXiv:2606.16253v1 Announce Type: cross Abstract: Vision-language-action (VLA) models increasingly rely on high-frequency multi-camera observations, making visu
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 3w ago
RealityBridge: Bridging Editable 3D Gaussian Splatting Driving Simulations and Real-World Videos
arXiv:2606.16278v1 Announce Type: cross Abstract: Long-tail hazardous scenarios are essential for safety-oriented autonomous driving, yet they are difficult to
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 3w ago
FusionRS: A Large-Scale RGB-Infrared Remote Sensing Dataset for Dual-Modal Vision-Language Foundation Models
arXiv:2606.17020v1 Announce Type: cross Abstract: Remote sensing vision-language models have advanced Earth observation understanding, but most existing work re
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 3w ago
Multi-Sensor Fusion for UAV Classification Based on Feature Maps of Image and Radar Data
arXiv:2410.16089v2 Announce Type: replace Abstract: The unique cost, flexibility, speed, and efficiency of modern UAVs make them an attractive choice in many ap
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 3w ago
PURe: A Plug-and-Play Product-Unit Residual Module for Vision Networks
arXiv:2505.04397v2 Announce Type: replace-cross Abstract: Modern vision networks are dominated by additive local transformations, whereas explicit multiplicativ
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 3w ago
Seeing Roads Through Words: A Language-Guided Framework for RGB-T Driving Scene Segmentation
arXiv:2602.07343v2 Announce Type: replace-cross Abstract: Robust semantic segmentation of road scenes under adverse illumination, lighting, and shadow condition
Reddit r/deeplearning 👁️ Computer Vision ⚡ AI Lesson 3w ago
How to automatically mask real people but ignore paintings/statues/mannequins?
submitted by /u/Beginning_Street_375 [link] [comments]
SignTax: A Computer Vision Approach to Advertising Sign Tax Assessment
Medium · Deep Learning 👁️ Computer Vision ⚡ AI Lesson 3w ago
SignTax: A Computer Vision Approach to Advertising Sign Tax Assessment
SignTax คือระบบ AI สำหรับ ตรวจสอบป้ายโฆษณาและประเมินภาษีป้าย โดยมีเป้าหมายเพื่อช่วยหน่วยงานท้องถิ่น ในการคำนวณค่าภาษีป้ายโฆษณา ที่มีขอบเขต… Continue reading on
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 3w ago
Morphology-Aware Sample Assignment: Overcoming IoU Insensitivity for Surface Defect Detection
arXiv:2606.13723v1 Announce Type: cross Abstract: Intersection-over-Union (IoU), as a pivotal metric for evaluating the spatial alignment between candidate prop
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 3w ago
How do Self-Supervised Remote Sensing Vision Models Transfer to Downstream Tasks?
arXiv:2606.13896v1 Announce Type: cross Abstract: Self-supervised geospatial foundation models (GeoFMs) learn transferable representations from remote sensing d
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 3w ago
HiLo-Token: Input-Adaptive High-Low Frequency Token Compression for Efficient Image Editing
arXiv:2606.13898v1 Announce Type: cross Abstract: Creative image editing tools, such as Photoshop's Remove or Generative Fill buttons, are central to everyday c
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 3w ago
FEMOT: Multi-Object Tracking using Frame and Event Cameras
arXiv:2606.14094v1 Announce Type: cross Abstract: Conventional RGB cameras have been widely used in multi-object tracking due to their ability to capture rich a
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 3w ago
Vanishing Depth: Training Generalized Depth Adapters with Sinusoidal Depth Preprocessing for Pretrained RGB Encoders
arXiv:2503.19947v2 Announce Type: replace-cross Abstract: Generalized metric depth understanding is critical for precise vision-guided robotics, which current s
Dev.to AI 👁️ Computer Vision ⚡ AI Lesson 3w ago
Your Face Got Mapped by Apple. 6 Million People Are Suing.
The evolving legal standards for biometric data processing For developers building computer vision (CV) applications, the recent federal class certification in
Journaling Cache
Medium · Programming 👁️ Computer Vision ⚡ AI Lesson 3w ago
Journaling Cache
Cache is a concept in browsers/applications in which data that is frequently used is fetched from cache memory (RAM) instead of being… Continue reading on Mediu
Dev.to AI 👁️ Computer Vision ⚡ AI Lesson 3w ago
Cops Lost His Kids Over an 85% Guess — Your Face Could Be Next
Why reliance on similarity scores is a developer's nightmare For computer vision engineers and developers working with biometrics, the news of another wrongful
Dev.to AI 👁️ Computer Vision ⚡ AI Lesson 3w ago
You Verified Your Kid's Age. A Stranger Now Has Your Face.
the technical risk of third-party identity pipelines For developers working in computer vision and biometrics, the recent shift by major platforms like PlayStat
Deep Model for Vision
Medium · Machine Learning 👁️ Computer Vision ⚡ AI Lesson 3w ago
Deep Model for Vision
Neural Networks for CV and NLP — EP03 Continue reading on Medium »
Deep Model for Vision
Medium · NLP 👁️ Computer Vision ⚡ AI Lesson 3w ago
Deep Model for Vision
Neural Networks for CV and NLP — EP03 Continue reading on Medium »
Someone Split Your Computer In Half: And Somehow It Still Works
Medium · Programming 👁️ Computer Vision ⚡ AI Lesson 3w ago
Someone Split Your Computer In Half: And Somehow It Still Works
Why are the CPU and RAM two different chips? Genuinely. Who decided that? At some point someone drew a line down the middle of a computer… Continue reading on M
Can AI Change an Entire Outfit in a Video at Once?
Medium · AI 👁️ Computer Vision ⚡ AI Lesson 3w ago
Can AI Change an Entire Outfit in a Video at Once?
Paper: OmniTryOn: Video Try-On Anything at Once! Continue reading on Medium »
Understanding Modern CNN Design: Comparing CNN, ResNet, DenseNet, and DLA
Medium · Deep Learning 👁️ Computer Vision ⚡ AI Lesson 3w ago
Understanding Modern CNN Design: Comparing CNN, ResNet, DenseNet, and DLA
CNNs have been the strongest pillars of Computer Vision since its inception. Not only were they a profound concept when they were… Continue reading on Medium »
Reddit r/deeplearning 👁️ Computer Vision ⚡ AI Lesson 3w ago
Join us for 1 day virtual session on fundamentals of computer vision
Hello everyone, I'm going to conduct a one-day virtual session on the fundamentals of Computer Vision, where I'll primarily discuss concepts directly from the o
CPU Basics for Hackers & Developers: Understanding Memory, Stack, Heap & Registers Like a Pro
Medium · Programming 👁️ Computer Vision ⚡ AI Lesson 3w ago
CPU Basics for Hackers & Developers: Understanding Memory, Stack, Heap & Registers Like a Pro
A beginner-friendly but deep guide to how programs actually live inside memory — with storytelling, visuals, and hands-on labs Continue reading on Medium »
CPU Basics for Hackers & Developers: Understanding Memory, Stack, Heap & Registers Like a Pro
Medium · Cybersecurity 👁️ Computer Vision ⚡ AI Lesson 3w ago
CPU Basics for Hackers & Developers: Understanding Memory, Stack, Heap & Registers Like a Pro
A beginner-friendly but deep guide to how programs actually live inside memory — with storytelling, visuals, and hands-on labs Continue reading on Medium »
Medium · Python 👁️ Computer Vision ⚡ AI Lesson 3w ago
I Built an AI Bot That Counts Calories From a Photo of Your Plate
And it spots patterns your nutritionist would catch — for $5/month Continue reading on Medium »
Reddit r/deeplearning 👁️ Computer Vision ⚡ AI Lesson 3w ago
Just wandering, what about conducting a 1 day virtual computer vision fundamentals session?
Hi all, A real story from my current experience: I'm associated with an internship where the primary work revolves around autonomous UAVs. What has shocked me t
Real-time detection of vertical tongue movements via mobile camera — looking for the right approach
Dev.to · Alex-en 👁️ Computer Vision ⚡ AI Lesson 3w ago
Real-time detection of vertical tongue movements via mobile camera — looking for the right approach
Hi everyone. I'm working on detecting articulatory tongue movements through a smartphone's...
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 3w ago
Augmentation techniques for video surveillance in the visible and thermal spectral range
arXiv:2606.13042v1 Announce Type: new Abstract: In intelligent video surveillance, cameras record image sequences during day and night. Commonly, this demands d
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 3w ago
DIMOS: Disentangling Instance-level Moving Object Segmentation
arXiv:2606.12826v1 Announce Type: cross Abstract: Moving instance segmentation (MIS) attracts increasing attention due to its broad applications in traffic surv
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 3w ago
OmniDirector: General Multi-Shot Camera Cloning without Cross-Paired Data
arXiv:2606.13432v1 Announce Type: cross Abstract: Cloning camera motion from reference videos is an important task in video generation, as videos provide intuit
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 3w ago
Heterogeneous LiDAR Early Fusion and Learned Re-Ranking Strategy for Robust Long-Term Place Recognition in Unstructured Environments
arXiv:2606.13503v1 Announce Type: cross Abstract: Robust localization in unstructured environments, such as agricultural fields, is a critical challenge for aut
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 3w ago
Measurement-Calibrated Multi-Camera Fusion for Vision-Based Indoor Localization
arXiv:2606.13509v1 Announce Type: cross Abstract: Indoor vision-based localization systems are affected by detection noise, occlusions, and limited camera cover
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 3w ago
Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery
arXiv:2511.04260v3 Announce Type: replace-cross Abstract: The growing sophistication of synthetic image and deepfake generation models has turned source attribu
Tile-Voting Image Registration: A Refusal to Slide a PNG Became a Free CV Tool
Dev.to · Trent Tompkins 👁️ Computer Vision ⚡ AI Lesson 3w ago
Tile-Voting Image Registration: A Refusal to Slide a PNG Became a Free CV Tool
Tile-voting image registration: how a refusal to slide a PNG became a free CV tool There's...
Algo(31/40)Real-World Perception & Action: Pixels, Boxes & Trust (2015)
Medium · Deep Learning 👁️ Computer Vision ⚡ AI Lesson 3w ago
Algo(31/40)Real-World Perception & Action: Pixels, Boxes & Trust (2015)
By 2015, Neural Networks were excellent at saying “This is a cat.” But in the real world, that isn’t enough. A self-driving car needs to… Continue reading on Me
Teaching a Logo Detector to Say “I Don’t Know”
Medium · Python 👁️ Computer Vision ⚡ AI Lesson 3w ago
Teaching a Logo Detector to Say “I Don’t Know”
Building BrandSpotter: a three-stage brand recognition pipeline on LogoDet-3K, and why the hardest part wasn’t detection or classification. Continue reading on
Dev.to AI 👁️ Computer Vision ⚡ AI Lesson 3w ago
Gaussian Splatting Meets 3D Scanning: A New Approach to Capture
If you work with 3D scanning, you know the pain: scan, clean up the mesh, retopologize, UV unwrap, texture. What if the scanner handled most of that natively? T