Computer Vision

BiRefNet vs rembg vs U2Net: Which Background Removal Model Actually Works in...

I built an AI tool that turns images into structured text (Captio) I’ve been working on a...

Traditional OCR-then-translate pipelines are failing. Here is why manga localization requires a...

how to build a GPU game in 2026 — The Truth About Building Your First GPU Game in 2026: Are You Ready?

Decoding the technical failures of automated facial matching For developers building the next...

Matrix-Game-3.0 is Skywork’s open-source world model for real-time 720p interactive video generation at 40 FPS with strong temporal consistency.

You have 10,000 photos on your laptop. Some are duplicates. Some are resized. Some are cropped...

the mathematical reality of facial biometric thresholds Developers building computer vision (CV)...

Virtual RAM can help boost PC performance when resources are scarce. While it can be useful, it's not a replacement for physical RAM.

Google has issued an update alert for 3.5 billion Chrome browser users following confirmation of a new zero-day attack exploit.

This year marks the 80th anniversary of ENIAC , the first general-purpose digital computer. The computer was built during World War II to speed up ballistics ca

Waste management is becoming increasingly challenging as cities grow. Traditional methods rely...

Over 1.5 billion downloads. Used in everything from self-driving cars to medical imaging to robotics. OpenCV has become the backbone of modern computer vision —

Blurring an image in the browser sounds like it should need a library. It doesn't. The Canvas 2D API...

Face Tracking for Vertical Video: Why It's Harder Than It Looks (And How It...

AI-generated radiographs fool medical experts For developers building computer vision (CV) or...

Author(s): Julia Originally published on Towards AI. Why is everyone obsessed with YOLO? And no I don’t talk about the 2012 mantra “You Only Live Once”. For yea

arXiv:2411.13181v3 Announce Type: replace-cross Abstract: The classification of distracted drivers is pivotal for ensuring safe driving. Previous studies demons

Training AI to See the Notes: Moving Beyond Text-Only Feedback for Designers The "Make It Pop" Problem You send a design. The client replies with a marked-up sc

The Windows 11 setup program really, really wants you to use a Microsoft account instead of a local account. Here's everything you need to know about your optio

What does it look like when computer vision and AI power experiences for millions of guests at Disney scale, from AI-driven robotic characters to conversational

Extracting frames from videos sounds simple… until you actually need: Custom frame intervals Privacy...

This paper shows that when Vision Transformers are trained without labels using self-supervision, they develop surprising abilities. Their attention maps reveal

As developers, we often build tools that solve technical problems. This time, I wanted to build...

arXiv:2603.29777v1 Announce Type: cross Abstract: Public spaces such as transport hubs, city centres, and event venues require timely and reliable detection of

arXiv:2603.29927v1 Announce Type: cross Abstract: Transferring large volumes of high-resolution images during wind turbine inspections introduces a bottleneck i

arXiv:2507.11539v2 Announce Type: replace-cross Abstract: Perceiving and reconstructing 3D geometry from videos is a fundamental yet challenging computer vision

background-removal is an AI-powered tool created by Pixelcut that handles the task of removing backgrounds from images with precision and speed.

What does it take to build an AI that competes in professional motorsports — no driver, no remote control, just autonomous decision-making at race speed? Find o

is coming, and it won't be as expensive as thought.]]>

Estimating the speed of the ISS using computer vision I recently revisited an older...

This post looks at what it actually takes to turn physical objects into usable data.

arXiv:2603.27181v1 Announce Type: cross Abstract: Achieving safe, high-speed autonomous flight in complex environments with static, dynamic, or mixed obstacles

arXiv:2603.27357v1 Announce Type: cross Abstract: Polarization imaging captures the polarization state of light, revealing information invisible to the human ey

OpenCV is continuing our partnership with the awesome Display Week conference, joining them in Los Angeles this May 4th for a special one-day event packed with

Facial recognition technology (FRT) dates back 60 years. Just over a decade ago, deep-learning methods tipped the technology into more useful— and menacing —ter

arXiv:2603.25863v1 Announce Type: cross Abstract: This paper proposes a method for dynamic hand gesture recognition based on the composition of two models: the

arXiv:2603.25935v1 Announce Type: cross Abstract: This work presents a new Hybrid Dense SwinV2, a two-branch framework that jointly leverages densely connected

arXiv:2603.25946v1 Announce Type: cross Abstract: High infraction rates remain the primary bottleneck for end-to-end (E2E) autonomous driving, as evidenced by t

arXiv:2603.26015v1 Announce Type: cross Abstract: Human age estimation from facial images represents a challenging computer vision task with significant applica

arXiv:2603.26067v1 Announce Type: cross Abstract: Physical adversarial camouflage poses a severe security threat to autonomous driving systems by mapping advers

arXiv:2603.26203v1 Announce Type: cross Abstract: Technology change happens quickly such that new trends tend to crowd out the focus on what was new just yester

arXiv:2603.26260v1 Announce Type: cross Abstract: Open-vocabulary 3D semantic segmentation aims to segment arbitrary categories beyond the training set. Existin

arXiv:2603.26551v1 Announce Type: cross Abstract: Vision backbone networks play a central role in modern computer vision. Enhancing their efficiency directly be

arXiv:2603.26653v1 Announce Type: cross Abstract: We introduce PerceptionComp, a manually annotated benchmark for complex, long-horizon, perception-centric vide

arXiv:2511.10983v2 Announce Type: replace-cross Abstract: We propose a training-free, binary verification workflow for zero-shot vision with off-the-shelf VLMs.

arXiv:2512.11798v2 Announce Type: replace-cross Abstract: We introduce Particulate, a feed-forward model that, given a 3D mesh of an object, infers its articula

arXiv:2601.07855v2 Announce Type: replace-cross Abstract: For 3D perception systems to operate reliably in real-world environments, they must remain robust to e