python -m train --ds CUB --model vit_small_patch16_224 --num_samples 9 --lr 3e-5 --ep 50 --eval_ep "[50]" --resize 256 python -m train --ds CUB --model dino_vits16 ...
Figure 1. Demonstration of how our proposed algorithm finds changes in the multi-temporal remote sensing image (for beirut image pair in OSCD dataset).
Abstract: In this paper, we propose a deep metric learning with adaptively composite dynamic constraints (DML-DC) method for image retrieval and clustering. Most existing deep metric learning methods ...
Abstract: Recently, deep metric learning (DML) has achieved great success. Some existing DML methods propose adaptive sample mining strategies, which learn to weight the samples, leading to ...
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