MSRN

Reported on 2 benchmarks across 1 task · 1 paper

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· 2021-06-22
83.4
best: 93.54 (ADDS(ViT-L-336, resolution 1344))
Multi-layered Semantic Representation Network for Multi-label Image Classification arXiv:2106.11596
Multi-Label ClassificationonNUS-WIDE
MAP· 2021-06-22
61.5
best: 70.1 (Q2L-CvT(resolution 384, ImageNet-21K pretrained))
Multi-layered Semantic Representation Network for Multi-label Image Classification arXiv:2106.11596