| ADDS(ViT-L-336, resolution 1344) |
- mAP
- 93.54
|
Open Vocabulary Multi-Label Classification with Dual-Modal Decoder on Aligned Visual-Textual Features 2022-08-19 |
연결 없음 |
| ADDS(ViT-L-336, resolution 640) |
- mAP
- 93.41
|
Open Vocabulary Multi-Label Classification with Dual-Modal Decoder on Aligned Visual-Textual Features 2022-08-19 |
연결 없음 |
| ADDS(ViT-L-336, resolution 336) |
- mAP
- 91.76
|
Open Vocabulary Multi-Label Classification with Dual-Modal Decoder on Aligned Visual-Textual Features 2022-08-19 |
연결 없음 |
| ML-Decoder(TResNet-XL, resolution 640) |
- mAP
- 91.4
|
ML-Decoder: Scalable and Versatile Classification Head 2021-11-25 |
코드 1 |
| Q2L-CvT(ImageNet-21K pretraining, resolution 384) |
- mAP
- 91.3
|
Query2Label: A Simple Transformer Way to Multi-Label Classification 2021-07-22 |
코드 1 · 코드 2 · 코드 3 |
| MLD-TResNet-L-AAM[640x640] |
- mAP
- 91.30
|
Combining Metric Learning and Attention Heads For Accurate and Efficient Multilabel Image Classification 2022-09-14 |
코드 1 |
| ML-Decoder(TResNet-L, resolution 640) |
- mAP
- 91.1
|
ML-Decoder: Scalable and Versatile Classification Head 2021-11-25 |
코드 1 |
| Q2L-SwinL(ImageNet-21K pretraining, resolution 384) |
- mAP
- 90.5
|
Query2Label: A Simple Transformer Way to Multi-Label Classification 2021-07-22 |
코드 1 · 코드 2 · 코드 3 |
| Q2L-TResL(ImageNet-21K pretraining, resolution 640) |
- mAP
- 90.3
|
Query2Label: A Simple Transformer Way to Multi-Label Classification 2021-07-22 |
코드 1 · 코드 2 · 코드 3 |
| IDA-SwinL |
- mAP
- 90.3
|
Causality Compensated Attention for Contextual Biased Visual Recognition 2023-02-25 |
코드 1 |
| CCD-SwinL |
- mAP
- 90.3
|
Contextual Debiasing for Visual Recognition With Causal Mechanisms 2022-01-01 |
코드 1 |
| MlTr-XL(ImageNet-21K pretraining, resolution 384) |
- mAP
- 90.0
|
MlTr: Multi-label Classification with Transformer 2021-06-11 |
코드 1 |
| TResNet-L-V2, (ImageNet-21K-P pretraining, resolution 640) |
- mAP
- 89.8
|
ImageNet-21K Pretraining for the Masses 2021-04-22 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| MlTr-L(ImageNet-21K pretraining, resolution 384) |
- mAP
- 88.5
|
MlTr: Multi-label Classification with Transformer 2021-06-11 |
코드 1 |
| TResNet-XL (resolution 640) |
- mAP
- 88.4
|
Asymmetric Loss For Multi-Label Classification 2020-09-29 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| TResNet-L-V2, (ImageNet-21K-P pretraining, resolution 448) |
- mAP
- 88.4
|
ImageNet-21K Pretraining for the Masses 2021-04-22 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| GKGNet(resolution 576) |
- mAP
- 87.7
|
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition 2023-08-28 |
코드 1 |
| M3TR(ImageNet-21K-P pretraining, resolution 448) |
- mAP
- 87.5
|
M3TR: Multi-modal Multi-label Recognition with Transformer 2021-10-01 |
코드 1 |
| GKGNet(resolution 448) |
- mAP
- 86.7
|
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition 2023-08-28 |
코드 1 |
| TResNet-L (resolution 448) |
- mAP
- 86.6
|
Asymmetric Loss For Multi-Label Classification 2020-09-29 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| IDA-R101 |
- mAP
- 86.3
|
Causality Compensated Attention for Contextual Biased Visual Recognition 2023-02-25 |
코드 1 |
| TDRG-R101(576×576) |
- mAP
- 86.0
|
Transformer-based Dual Relation Graph for Multi-label Image Recognition 2021-10-10 |
코드 1 |
| CCD-R101 |
- mAP
- 85.3
|
Contextual Debiasing for Visual Recognition With Causal Mechanisms 2022-01-01 |
코드 1 |
| ADD-GCN |
- mAP
- 85.2
|
Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition 2020-12-05 |
코드 1 |
| Q2L-R101(resolution 448) |
- mAP
- 84.9
|
Query2Label: A Simple Transformer Way to Multi-Label Classification 2021-07-22 |
코드 1 · 코드 2 · 코드 3 |
| TDRG-R101(448×448) |
- mAP
- 84.6
|
Transformer-based Dual Relation Graph for Multi-label Image Recognition 2021-10-10 |
코드 1 |
| MCAR (ResNet101, 576x576) |
- mAP
- 84.5
|
Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition 2020-07-03 |
코드 1 |
| MS-CMA |
- mAP
- 83.8
|
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification 2019-12-17 |
연결 없음 |
| MCAR (ResNet101, 448x448) |
- mAP
- 83.8
|
Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition 2020-07-03 |
코드 1 |
| KSSNet |
- mAP
- 83.7
|
Multi-Label Classification with Label Graph Superimposing 2019-11-21 |
코드 1 · 코드 2 · 코드 3 |