Abstract: Detecting small objects and managing occlusions remain persistent challenges in object detection tasks, particularly in complex scenarios with diverse environments or densely packed scenes.

LONDON, Feb 5 (Reuters) - Britain will work with Microsoft, academics and experts to develop a system to spot deepfake material online, the government said on Thursday, as it moves to set standards ...

A team of researchers led by Nvidia has released DreamDojo, a new AI system designed to teach robots how to interact with the physical world by watching tens of thousands of hours of human video — a ...

Anti-ICE protesters were arrested in Minneapolis after chaos unfolded outside a federal building, with footage showing confrontations with officers. At least 42 anti-ICE protesters were arrested ...

This repository presents a computer vision pipeline built for object detection and barcode analysis. Instead of relying on rigid, pre-trained detectors, the architecture uses the SAM3 foundation model ...

Abstract: The detection and statistics of damaged buildings are crucial for rescue work, especially when detecting object-level and small buildings. Existing detection technologies mainly focus on ...

We propose MaskCut approach to generate pseudo-masks for multiple objects in an image. CutLER can learn unsupervised object detectors and instance segmentors solely on ImageNet-1K. CutLER exhibits ...