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Align and Distill: Unifying and Improving Domain Adaptive Object Detection
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author
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2026-03-02 07:01:22
raw text
Align and Distill: Unifying and Improving Domain Adaptive Object Detection Align and Distill: Unifying and Improving Domain Adaptive Object Detection Justin Kay 1 , Timm Haucke 1 , Suzanne Stathatos 2 , Siqi Deng 3 , Erik Young 4 , Pietro Perona 2,3 , Sara Beery 1,= , Grant Van Horn 5,= MIT 1 , Caltech 2 , AWS 3 , Skagit Fisheries Enhancement Group 4 , UMass Amherst 5 Paper arXiv Code Data Align and Distill (ALDI) achieves state-of-the-art performance in domain adaptive object detection (DAOD) and provides a unified framework for fair comparison. We show: Inconsistent implementation practices give the appearance of steady progress in DAOD (left bars); reimplementation and fair comparison with ALDI shows less difference between methods than previously reported (middle bars). A fairly constructed source-only model (blue line) outperforms many existing DAOD methods, ind...
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