Here are five projects that are worth opening your wallet for. RISC-V, which is pronounced “risk five,” is an open-source ...
Abstract: Few-shot object detection (FSOD) is a developing research topic in computer vision. Its core idea is to leverage abundant samples from base categories to train a model, which can then be ...
In the wake of tragic subway accidents, artificial intelligence is stepping in to detect danger before it escalates. From ...
Axis Communications has launched the AXIS Q9227-SLV Corner Camera, a compact, ligature-resistant solution designed for prisons and psychiatric wards. Featuring 5 MP resolution, wide-area coverage with ...
Invasive species have a major impact on marine ecosystems by disrupting the natural balance and biodiversity. Introduced ...
The surveillance camera systems market is expanding as safety concerns and smart surveillance technologies accelerate adoption, with the U.S. segment rising from USD 13.25 billion in 2025E to USD ...
BONUS: Custom Object Counting Mode (TensorFlow implementation): You can train TensorFlow models with your own training data to built your own custom object counter system! If you want to learn how to ...
Astronomers have detected a massive object moving in a synchronized path behind Earth. Early measurements suggest it has been trailing the planet longer than previously assumed. Its trajectory does ...
Abstract: Object detection in event streams has emerged as a cutting-edge research area, demonstrating superior performance in low-light conditions, scenarios with motion blur, and rapid movements.
This repository is the official implementation of ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection For ease of use, we create a eval.sh script and a use case in the form of ...