Computer Vision

Siber güvenlik veya network dünyasına yeni giren herkesin karşısına bir noktada OSI modeli çıkar. Continue reading on Medium »

In computer vision, the Scale-Invariant Feature Transform (SIFT) algorithm remains a classic foundational standard for keypoint detection… Continue reading on M

From filters to feature maps: building networks that actually see. Continue reading on Medium »

From filters to feature maps: building networks that actually see. Continue reading on Medium »

From filters to feature maps: building networks that actually see. Continue reading on Medium »

From filters to feature maps: building networks that actually see. Continue reading on Medium »

La programación gráfica permite crear imágenes mediante instrucciones ejecutadas por la tarjeta gráfica. Este campo no solo sirve para… Continue reading on Medi

Hi everyone, I’m working on a shape detection project where the user draws on a whiteboard/canvas, and the system converts the drawing into a detected shape. Th

If you would like to follow along you will need Google Colab or Jupyter Notebook and these libraries: Continue reading on Medium »

Researchers tackle fundamental gaps in motion detection by grounding segmentation in spatiotemporal coordinates rather than relying on pre-computed 2D approxima

My paper was recently accepted to a workshop at CVPR-2026 as non-archival acceptance. Is it mandatory for me to register to the conference as I won't be able to

Artificial Intelligence has made remarkable progress over the past decade, but one of the most impactful areas is computer vision. Continue reading on Medium »

Artificial Intelligence has made remarkable progress over the past decade, but one of the most impactful areas is computer vision. Continue reading on Medium »

A few years ago, I thought being a successful computer engineering student was all about writing code and getting good grades. Continue reading on Medium »

How to use NVIDIA LocateAnything-3B ? Continue reading on Data Science in Your Pocket »

Preserving historical family memories or working with damaged digital archives often feels like a losing battle against time. Learning how… Continue reading on

What I Built I built Attendance Pro — a Smart Face Recognition Attendance System for...

arXiv:2605.29563v1 Announce Type: new Abstract: Can VLMs predict how each camera move changes the view, and plan many such moves ahead? We call this capability

arXiv:2605.29610v1 Announce Type: cross Abstract: In scene graph generation, a central challenge is modeling polysemous predicates whose meanings shift across c

arXiv:2605.29881v1 Announce Type: cross Abstract: Large vision-language models (LVLMs) often hallucinate objects that are not present in the input image, largel

arXiv:2605.30268v1 Announce Type: cross Abstract: We address the task of generating physically accurate and visually faithful 4D Human-Object Interaction (HOI).

arXiv:2605.30310v1 Announce Type: cross Abstract: City-scale 3D surface reconstruction from multiview images for downstream 3D simulation, poses highly challeng

arXiv:2605.30318v1 Announce Type: cross Abstract: Portrait photography is largely decided before the shutter opens: the subject's pose, the camera configuration

arXiv:2505.21876v2 Announce Type: replace-cross Abstract: Recent approaches for video generation with camera control often create anchor videos (i.e., rendered

arXiv:2603.04314v2 Announce Type: replace-cross Abstract: Animal re-identification (ReID) faces critical challenges due to viewpoint variations, particularly in

Real-time collaboration works like magic until two users edit the same line simultaneously. Under the...

The shift toward friction-less biometric deployment For developers working in computer vision and...

How I turned exhibition photos into professional intelligence reports — and what I learned about working with Vision Language Models in… Continue reading on Med

Hello everyone. The new dataset is named MONET, is Apache 2.0 and available on HF: https://huggingface.co/datasets/jasperai/monet MONET is open, Apache 2.0-lice

Everything a student, programmer, or network engineer needs to know about binary and decimal — plus a tool that shows every step of the… Continue reading on Med

A story of cfans duct-taped to GPUs, neural network hallucinations, and what it actually takes to ship computer vision in production.

arXiv:2605.28067v1 Announce Type: new Abstract: The remarkable generation quality of modern diffusion models often comes at the cost of massive parameter counts

arXiv:2605.27764v1 Announce Type: cross Abstract: Recent segmentation models couple large language models (LLMs) with mask decoders to ground complex language e

arXiv:2605.28100v1 Announce Type: cross Abstract: In an era where climate change aggravates environmental uncertainties, the identification and detection of eve

arXiv:2605.28604v1 Announce Type: cross Abstract: Identifying key individuals in video scenes is essential for applications such as automated video editing and

arXiv:2603.05425v2 Announce Type: replace-cross Abstract: Image-to-3D generation faces inherent semantic ambiguity under occlusion, where partial observation al

The Perception Concepts You Need Cold (Beyond CV Fundamentals) Continue reading on Medium »

Gerçek zamanlı Computer Vision projelerinde yalnızca çalışan bir sistem geliştirmek yeterli değildir. Önemli olan nokta; sistemin stabil… Continue reading on Me

Detecté 1.882 plantas de maíz desde un dron con YOLOv8 — sin GPU, sin etiquetado manual, y con 100% de precisión en campo Continue reading on Medium »

Detecté 1.882 plantas de maíz desde un dron con YOLOv8 — sin GPU, sin etiquetado manual, y con 100% de precisión en campo Continue reading on Medium »

submitted by /u/MiserableDonkey1974 [link] [comments]

​ I want to learn it for road extraction....so please suggest the best resources submitted by /u/NoAnybody8034 [link]

A technical walkthrough of how convolutional networks gave way to Vision Transformers — and what that means for document intelligence. Continue reading on Mediu

People hear "I replaced my OCR pipeline with a vision model" and the first thing they ask about is cost. Fair question. I assumed it would be expensive too. Und

hey everyone, I’m a first-year BSc Mathematics student currently applying computer graphics and mathematical concepts in AI. to understand transformation matric

From Computer Vision Demo to Real Industrial Tool Continue reading on Medium »

arXiv:2605.26137v1 Announce Type: cross Abstract: While 3D generation is progressing rapidly, recent work has often focused on obtaining high-resolution assets,

arXiv:2605.26316v1 Announce Type: cross Abstract: Controllable and physically grounded egocentric video generation is essential for embodied agents to reason ab