VOC-MLT
Introduced by Wu et al. in Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets
We construct the long-tailed version of VOC from its 2012 train-val set. It contains 1,142 images from 20 classes, with a maximum of 775 images per class and a minimum of 4 images per class. The ratio of head, medium, and tail classes after splitting is 6:6:8. We evaluate the performance on VOC2007 test set with 4952 images.
Benchmarks
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VOC-MLT
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LMPT
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VOC-MLT
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CLIP
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Papers
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