Synthetic Priors for Real-World Detection: a Label-Free Framework for Identifying Ultra-Rare Objects
Abstract: Detecting ultra-rare objects (frequency 10-6) without positive annotations remains a critical challenge in computer vision. We propose a Synthesis-Prior Driven paradigm that eliminates the ...
Abstract: Small object detection in uncrewed aerial vehicle (UAV) images is one of the critical aspects for its widespread application. However, due to limited feature extraction for small objects and ...
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