eLife

New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.
IEEE

Integrated Visual Sensing and Efficient Deep Learning for UAV-Based Track Foreign Object Detection

Abstract: Deploying deep learning models on UAV-based edge platforms for railway track foreign object detection is often limited by large model size and heavy computation. To address these issues, ...
GitHub

archer1324/nano-claude-code

Anthropic claude-opus-4-6 200k Most capable, best for complex reasoning ANTHROPIC_API_KEY Anthropic claude-sonnet-4-6 200k Balanced speed & quality ANTHROPIC_API_KEY Anthropic ...
IEEE

Causal HyperPrompter: A Framework for Unbiased Hyperspectral Camouflaged Object Tracking

Abstract: Hyperspectral camouflaged object tracking remains a significant challenge due to the high similarity between objects and replicas in texture and color. Despite recent progress, the bias ...