Computer Vision

arXiv:2607.03131v1 Announce Type: cross Abstract: Modern video surveillance systems generate far more video streams than human operators can effectively monitor

arXiv:2607.03253v1 Announce Type: cross Abstract: As hematoxylin & eosin (H&E) staining constitutes the primary entry point in routine diagnostic workflows, com

arXiv:2607.03558v1 Announce Type: cross Abstract: Continuous video anomaly detection is dominated by reactive Multiple Instance Learning (MIL) that collapses sp

arXiv:2607.03581v1 Announce Type: cross Abstract: The widespread adoption of facial masks, accelerated by COVID-19 and mandated in security-sensitive settings,

arXiv:2607.03650v1 Announce Type: cross Abstract: Extracting textual information from scanned medical documents, such as external laboratory reports and manuall

arXiv:2607.03784v1 Announce Type: cross Abstract: While prior studies have successfully compressed vision Transformers (ViTs) through various pruning techniques

arXiv:2607.03803v1 Announce Type: cross Abstract: The growing demand for image-to-video creation on mobile devices has increasingly focused on cinematic motion

arXiv:2607.03819v1 Announce Type: cross Abstract: Challenges remain in ego-centric 3D scene generation due to limited view overlap and the dominant influence of

arXiv:2607.03869v1 Announce Type: cross Abstract: Referring remote sensing image segmentation isolates the object named by a natural-language expression in an a

arXiv:2607.04119v1 Announce Type: cross Abstract: Reconstructing Computer-Aided Design (CAD) modeling sequences from images is crucial for preserving design int

arXiv:2607.04147v1 Announce Type: cross Abstract: Automated fine-grained perception of calligraphy styles--a task vital to cultural heritage preservation--remai

arXiv:2607.04541v1 Announce Type: cross Abstract: Camera-radar (CR) fusion is a practical sensing configuration for autonomous driving, but existing models are

arXiv:2607.04603v1 Announce Type: cross Abstract: Infrared small target detection (IRSTD) aims to identify long distance small targets from complex infrared bac

arXiv:2607.04605v1 Announce Type: cross Abstract: Multi-vector vision-language retrieval preserves fine-grained visual evidence through maximum-similarity late

arXiv:2607.04661v1 Announce Type: cross Abstract: Reconstructing 3D scene structures from sparse, low-overlap observations remains a fundamental challenge in au

arXiv:2607.04872v1 Announce Type: cross Abstract: Reasoning temporal localization (RTL) requires a model to generate an answer that itself contains the time int

arXiv:2607.04930v1 Announce Type: cross Abstract: In the pursuit of robust and generalizable category-level object pose estimation, most existing methods adopt

arXiv:2607.05396v1 Announce Type: cross Abstract: Real-world robot deployment rarely maintains the training-stage camera setup, where cameras often experience r

arXiv:2202.14019v3 Announce Type: replace-cross Abstract: Maintaining proper form while exercising is important for preventing injuries and maximizing muscle ma

arXiv:2401.10805v4 Announce Type: replace-cross Abstract: We introduce the novel concept of visually Connecting Actions and Their Effects (CATE) in video unders

arXiv:2505.15441v5 Announce Type: replace-cross Abstract: Natural images exhibit strong geometric regularities: local structures, such as edges, corners, and te

arXiv:2506.03162v3 Announce Type: replace-cross Abstract: The rapid proliferation of surveillance cameras has increased the demand for automated violence detect

arXiv:2508.04928v5 Announce Type: replace-cross Abstract: We propose a method to extend foundational monocular depth estimators (FMDEs), trained on perspective

arXiv:2510.09458v2 Announce Type: replace-cross Abstract: Interest in forestry automation is growing alongside rapid advances in deep learning. In particular, t

arXiv:2601.15235v4 Announce Type: replace-cross Abstract: Cervical spine fractures require rapid and accurate diagnosis, yet automatic CT interpretation remains

arXiv:2601.22054v2 Announce Type: replace-cross Abstract: Scaling has powered recent advances in vision foundation models, yet extending this paradigm to metric

arXiv:2603.13994v2 Announce Type: replace-cross Abstract: Vision foundation models trained with self-supervised objectives achieve strong performance across div

OpenCV 5.0, released on June 4, 2026, is a major update to the computer vision library. It replaces the legacy DNN engine with a modern… Continue reading on Med

How to hide strings in C++ binaries with consteval — and why it beats xorstr The...

Default overlays look like debug output Continue reading on Medium »

Default overlays look like debug output Continue reading on Medium »

There’s a CVPR 2026 paper out of the Institute of Automation, Chinese Academy of Sciences with a genuinely odd premise. To appreciate why… Continue reading on M

I'm new to this sub, so sorry if this question is not appropriate for here. I'm currently developing a document scanner app that specializes in cropping the pag

When I first started learning about Artificial Intelligence, I thought it was all about robots, chatbots, and complex programming. During… Continue reading on M

When I first started learning about Artificial Intelligence, I thought it was all about robots, chatbots, and complex programming. During… Continue reading on M

In this post, we present a multi-step pipeline directed by Amazon Nova, which uses its contextual vision reasoning to coordinate complementary tools, including

Understanding how PANet shortens the path between low-level and high-level features The post PANet Paper Walkthrough: When Feature Pyramids Go Bottom-Up appeare

This playbook serves as a comprehensive reference guide for training, fine-tuning, and deploying a hybrid Deep Learning model (MobileNetV2… Continue reading on

Background removal is a solved problem right up until the image has hair, fur, or fine detail, and...

Every time I set up a new computer vision pipeline, I hit the same wall. Continue reading on Medium »

Every time I set up a new computer vision pipeline, I hit the same wall. Continue reading on Medium »

Have you ever come across an image online and wondered where it came from, what product it featured, or whether it was even real? Just a… Continue reading on Me

Have you ever come across an image online and wondered where it came from, what product it featured, or whether it was even real? Just a… Continue reading on Me

Deep Learning Project FAQs on Faster R-CNN and YOLO Continue reading on Medium »

Every day we open a browser, type a website address, and within a few seconds a webpage appears. It...

Sebuah pendekatan praktis pengolahan citra digital untuk otomatisasi segmentasi gambar produk dan profil tanpa perangkat lunak… Continue reading on Medium »

How Deep Learning Is Saving Crops, One Leaf at a Time Continue reading on Medium »

Have you ever wondered how recycling facilities sort thousands of pieces of metal so quickly without stopping to inspect each one by hand? Traditional sorting m