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SOTA
多标签分类
Multi Label Classification On Ms Coco
Multi Label Classification On Ms Coco
评估指标
mAP
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
mAP
Paper Title
Repository
ADDS(ViT-L-336, resolution 1344)
93.54
Open Vocabulary Multi-Label Classification with Dual-Modal Decoder on Aligned Visual-Textual Features
-
ADDS(ViT-L-336, resolution 640)
93.41
Open Vocabulary Multi-Label Classification with Dual-Modal Decoder on Aligned Visual-Textual Features
-
ADDS(ViT-L-336, resolution 336)
91.76
Open Vocabulary Multi-Label Classification with Dual-Modal Decoder on Aligned Visual-Textual Features
-
ML-Decoder(TResNet-XL, resolution 640)
91.4
ML-Decoder: Scalable and Versatile Classification Head
Q2L-CvT(ImageNet-21K pretraining, resolution 384)
91.3
Query2Label: A Simple Transformer Way to Multi-Label Classification
MLD-TResNet-L-AAM[640x640]
91.30
Combining Metric Learning and Attention Heads For Accurate and Efficient Multilabel Image Classification
ML-Decoder(TResNet-L, resolution 640)
91.1
ML-Decoder: Scalable and Versatile Classification Head
Q2L-SwinL(ImageNet-21K pretraining, resolution 384)
90.5
Query2Label: A Simple Transformer Way to Multi-Label Classification
IDA-SwinL
90.3
Causality Compensated Attention for Contextual Biased Visual Recognition
-
CCD-SwinL
90.3
Contextual Debiasing for Visual Recognition With Causal Mechanisms
-
Q2L-TResL(ImageNet-21K pretraining, resolution 640)
90.3
Query2Label: A Simple Transformer Way to Multi-Label Classification
MlTr-XL(ImageNet-21K pretraining, resolution 384)
90.0
MlTr: Multi-label Classification with Transformer
TResNet-L-V2, (ImageNet-21K-P pretraining, resolution 640)
89.8
ImageNet-21K Pretraining for the Masses
MlTr-L(ImageNet-21K pretraining, resolution 384)
88.5
MlTr: Multi-label Classification with Transformer
TResNet-XL (resolution 640)
88.4
Asymmetric Loss For Multi-Label Classification
TResNet-L-V2, (ImageNet-21K-P pretraining, resolution 448)
88.4
ImageNet-21K Pretraining for the Masses
GKGNet(resolution 576)
87.7
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition
M3TR(ImageNet-21K-P pretraining, resolution 448)
87.5
M3TR: Multi-modal Multi-label Recognition with Transformer
-
GKGNet(resolution 448)
86.7
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition
TResNet-L (resolution 448)
86.6
Asymmetric Loss For Multi-Label Classification
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