← Multi-Label Classification
Papers with Code · CC BY-SA 4.0

MS-COCO

아카이브 평가 34건 · 마지막 적재/변경

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델원본 지표·값논문구현
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