Excited to share that our work on "Learning to Discover and Detect Objects" got accepted to #neurips2022!
🌐: vlfom.github.io/RNCDL/
📝: arxiv.org/abs/2210.10774
💻: github.com/vlfom/RNCDL
Deva Ramanan
Conversation
We propose a two-phase object detection framework that uses constrained clustering and self-supervision on top of object proposals to localize novel classes in the wild.
Our method beats SOTA when discovering 1000+ classes from LVIS using supervision for 80 COCO classes.
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