MS-CMA

Reported on 2 benchmarks across 1 task · 1 paper · 1 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology2 results

Multi-Label ClassificationonMS-COCO
mAP· 2019-12-17
83.8
best: 93.54 (ADDS(ViT-L-336, resolution 1344))
SOTA
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification arXiv:1912.07872
Multi-Label ClassificationonNUS-WIDE
MAP· 2019-12-17
61.4
best: 70.1 (Q2L-CvT(resolution 384, ImageNet-21K pretrained))
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification arXiv:1912.07872