|
Q2L-CvT(ImageNet-21K pretrained, resolution 384)
|
Query2Label: A Simple Transformer Way to Multi-La…
|
97.30
|
2021-07-22
|
|
|
Q2L-TResL(ImageNet-21K pretrained, resolution 448)
|
Query2Label: A Simple Transformer Way to Multi-La…
|
96.90
|
2021-07-22
|
|
|
GKGNet
|
GKGNet: Group K-Nearest Neighbor based Graph Conv…
|
96.80
|
2023-08-28
|
|
|
MLD-TResNetL-AAM (resolution 448, pretrain from OpenImages V6)
|
Combining Metric Learning and Attention Heads For…
|
96.70
|
2022-09-14
|
|
|
Q2L-TResL(resolution 448)
|
Query2Label: A Simple Transformer Way to Multi-La…
|
96.10
|
2021-07-22
|
|
|
MSRN(pretrain from MS-COCO)
|
Multi-layered Semantic Representation Network for…
|
96.00
|
2021-06-22
|
|
|
TResNet-L (resolution 448, pretrain from MS-COCO)
|
Asymmetric Loss For Multi-Label Classification
|
95.80
|
2020-09-29
|
|
|
SSGRL (pretrain from MS-COCO)
|
Learning Semantic-Specific Graph Representation f…
|
95.00
|
2019-08-20
|
|
|
TDRG-R101(448×448)
|
Transformer-based Dual Relation Graph for Multi-l…
|
95.00
|
2021-10-10
|
|
|
MCAR (ResNet101, 448x448)
|
Learning to Discover Multi-Class Attentional Regi…
|
94.80
|
2020-07-03
|
|
|
TResNet-L (resolution 448, pretrain from ImageNet)
|
Asymmetric Loss For Multi-Label Classification
|
94.60
|
2020-09-29
|
|
|
ML-GCN (pretrain from ImageNet)
|
Multi-Label Image Recognition with Graph Convolut…
|
94.00
|
2019-04-07
|
|
|
SSGRL (pretrain from ImageNet)
|
Learning Semantic-Specific Graph Representation f…
|
93.40
|
2019-08-20
|
|
|
Ours PF-DLDL
|
Deep Label Distribution Learning with Label Ambig…
|
93.40
|
2016-11-06
|
|
|
ViT-B-16 (ImageNet-21K pretrained)
|
ImageNet-21K Pretraining for the Masses
|
93.10
|
2021-04-22
|
|
|
FeV+LV (pretrain from ImageNet)
|
Exploit Bounding Box Annotations for Multi-label …
|
92.00
|
2015-04-22
|
|