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Found 2 papers, 2 papers with code
SpliceMix: A Cross-scale and Semantic Blending Augmentation Strategy for Multi-label Image Classification
The "splice" in our method is two-fold: 1) Each mixed image is a splice of several downsampled images in the form of a grid, where the semantics of images attending to mixing are blended without object deficiencies for alleviating co-occurred bias; 2) We splice mixed images and the original mini-batch to form a new SpliceMixed mini-batch, which allows an image with different scales to contribute to training together.
Semantic-Aware Dual Contrastive Learning for Multi-label Image Classification
Specifically, we leverage semantic-aware representation learning to extract category-related local discriminative features and construct category prototypes.
Ranked #1 on
Multi-Label Learning
on COCO 2014
