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: Current LiDAR-Camera fusion methods for 3D object detection achieve considerable accuracy at the immense cost of computation and storage, posing challenges for the deployment at the edge. To ...
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