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Models/MMT

MMT

Reported on 153 benchmarks across 13 tasks · 2 papers · 34 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing42 results

Data-to-Text GenerationonLSMDC-E
BLEU-1
18.52
Data-to-Text GenerationonLSMDC-E
BLEU-2
5.99
Data-to-Text GenerationonLSMDC-E
BLEU-3
2.51
Data-to-Text GenerationonLSMDC-E
BLEU-4
1.13
Data-to-Text GenerationonLSMDC-E
CIDEr
12.41
Data-to-Text GenerationonLSMDC-E
METEOR
12.87
Data-to-Text GenerationonLSMDC-E
ROUGE-L
20.99
Data-to-Text GenerationonVIST-E
BLEU-1
22.87
Data-to-Text GenerationonVIST-E
BLEU-2
8.68
Data-to-Text GenerationonVIST-E
BLEU-3
4.38
Data-to-Text GenerationonVIST-E
BLEU-4
2.61
Data-to-Text GenerationonVIST-E
CIDEr
25.41
Data-to-Text GenerationonVIST-E
METEOR
15.55
Data-to-Text GenerationonVIST-E
ROUGE-L
23.61
Visual StorytellingonLSMDC-E
BLEU-1
18.52
Visual StorytellingonLSMDC-E
BLEU-2
5.99
Visual StorytellingonLSMDC-E
BLEU-3
2.51
Visual StorytellingonLSMDC-E
BLEU-4
1.13
Visual StorytellingonLSMDC-E
CIDEr
12.41
Visual StorytellingonLSMDC-E
METEOR
12.87
Visual StorytellingonLSMDC-E
ROUGE-L
20.99
Visual StorytellingonVIST-E
BLEU-1
22.87
Visual StorytellingonVIST-E
BLEU-2
8.68
Visual StorytellingonVIST-E
BLEU-3
4.38
Visual StorytellingonVIST-E
BLEU-4
2.61
Visual StorytellingonVIST-E
CIDEr
25.41
Visual StorytellingonVIST-E
METEOR
15.55
Visual StorytellingonVIST-E
ROUGE-L
23.61
Story GenerationonLSMDC-E
BLEU-1
18.52
Story GenerationonLSMDC-E
BLEU-2
5.99
Story GenerationonLSMDC-E
BLEU-3
2.51
Story GenerationonLSMDC-E
BLEU-4
1.13
Story GenerationonLSMDC-E
CIDEr
12.41
Story GenerationonLSMDC-E
METEOR
12.87
Story GenerationonLSMDC-E
ROUGE-L
20.99
Story GenerationonVIST-E
BLEU-1
22.87
Story GenerationonVIST-E
BLEU-2
8.68
Story GenerationonVIST-E
BLEU-3
4.38
Story GenerationonVIST-E
BLEU-4
2.61
Story GenerationonVIST-E
CIDEr
25.41
Story GenerationonVIST-E
METEOR
15.55
Story GenerationonVIST-E
ROUGE-L
23.61

Computer Vision31 results

Zero-Shot Video RetrievalonMSR-VTT
text-to-video Mean Rank· uses extra data· 2020-07-21
148.1
SOTA
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
Zero-Shot Video RetrievalonMSR-VTT
text-to-video Median Rank· uses extra data· 2020-07-21
66
SOTA
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
VideoonMSR-VTT-1kA
text-to-video Mean Rank· 2020-07-21
26.7
best: 28.2 (Collaborative Experts)
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
VideoonMSR-VTT-1kA
text-to-video Median Rank· 2020-07-21
4
best: 13 (JSFusion)
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
VideoonMSR-VTT-1kA
text-to-video R@1· 2020-07-21
24.6
best: 62.9 (HunYuan_tvr (huge))
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
VideoonMSR-VTT-1kA
text-to-video R@10· 2020-07-21
67.1
best: 90.8 (HunYuan_tvr (huge))
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
VideoonMSR-VTT-1kA
text-to-video R@5· 2020-07-21
54
best: 84.5 (HunYuan_tvr (huge))
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
VideoonActivityNet
text-to-video Mean Rank· 2020-07-21
20.8
best: 23.1 (Collaborative Experts)
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
VideoonActivityNet
text-to-video Median Rank· 2020-07-21
5
best: 6 (Collaborative Experts)
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
VideoonActivityNet
text-to-video R@1· 2020-07-21
22.7
best: 74.1 (InternVideo2-6B)
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
VideoonActivityNet
text-to-video R@5· 2020-07-21
54.2
best: 90.9 (VAST)
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
VideoonActivityNet
text-to-video R@50· 2020-07-21
93.2
best: 98.2 (CLIP4Clip)
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
VideoonLSMDC
text-to-video Median Rank· 2020-07-21
21
best: 56.5 (CLIP)
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
VideoonLSMDC
text-to-video R@1· 2020-07-21
13.2
best: 46.4 (InternVideo2-6B)
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
VideoonLSMDC
text-to-video R@10· 2020-07-21
38.8
best: 92.8 (HunYuan_tvr (huge))
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
VideoonLSMDC
text-to-video R@5· 2020-07-21
29.2
best: 80.1 (HunYuan_tvr (huge))
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
Video RetrievalonMSR-VTT-1kA
text-to-video Mean Rank· 2020-07-21
26.7
best: 28.2 (Collaborative Experts)
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
Video RetrievalonMSR-VTT-1kA
text-to-video Median Rank· 2020-07-21
4
best: 13 (JSFusion)
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
Video RetrievalonMSR-VTT-1kA
text-to-video R@1· 2020-07-21
24.6
best: 62.9 (HunYuan_tvr (huge))
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
Video RetrievalonMSR-VTT-1kA
text-to-video R@10· 2020-07-21
67.1
best: 90.8 (HunYuan_tvr (huge))
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
Video RetrievalonMSR-VTT-1kA
text-to-video R@5· 2020-07-21
54
best: 84.5 (HunYuan_tvr (huge))
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
Video RetrievalonActivityNet
text-to-video Mean Rank· 2020-07-21
20.8
best: 23.1 (Collaborative Experts)
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
Video RetrievalonActivityNet
text-to-video Median Rank· 2020-07-21
5
best: 6 (Collaborative Experts)
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
Video RetrievalonActivityNet
text-to-video R@1· 2020-07-21
22.7
best: 74.1 (InternVideo2-6B)
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
Video RetrievalonActivityNet
text-to-video R@5· 2020-07-21
54.2
best: 90.9 (VAST)
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
Video RetrievalonActivityNet
text-to-video R@50· 2020-07-21
93.2
best: 98.2 (CLIP4Clip)
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
Video RetrievalonLSMDC
text-to-video Median Rank· 2020-07-21
21
best: 56.5 (CLIP)
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
Video RetrievalonLSMDC
text-to-video R@1· 2020-07-21
13.2
best: 46.4 (InternVideo2-6B)
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
Video RetrievalonLSMDC
text-to-video R@10· 2020-07-21
38.8
best: 92.8 (HunYuan_tvr (huge))
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
Video RetrievalonLSMDC
text-to-video R@5· 2020-07-21
29.2
best: 80.1 (HunYuan_tvr (huge))
Multi-modal Transformer for Video Retrieval arXiv:2007.10639
Zero-Shot Video RetrievalonMSR-VTT
text-to-video R@5· uses extra data· 2020-07-21
14.4
best: 78.3 (InternVideo2-6B)
Multi-modal Transformer for Video Retrieval arXiv:2007.10639

Methodology30 results

Domain AdaptationonDuke to MSMT
mAP· 2020-01-06
23.3
best: 45.2 (CORE-ReID)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Domain AdaptationonDuke to MSMT
rank-1· 2020-01-06
50.1
best: 72.2 (CORE-ReID)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Domain AdaptationonDuke to MSMT
rank-10· 2020-01-06
69.8
best: 86.3 (CORE-ReID)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Domain AdaptationonDuke to MSMT
rank-5· 2020-01-06
63.9
best: 82.9 (CORE-ReID)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Domain AdaptationonMarket to MSMT
mAP· 2020-01-06
22.9
best: 44.1 (CORE-ReID V2)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Domain AdaptationonMarket to MSMT
rank-1· 2020-01-06
49.2
best: 71.3 (CORE-ReID V2)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Domain AdaptationonMarket to MSMT
rank-10· 2020-01-06
68.8
best: 86 (CORE-ReID V2)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Domain AdaptationonMarket to MSMT
rank-5· 2020-01-06
63.1
best: 82.4 (CORE-ReID V2)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Domain AdaptationonMarket to Duke
mAP· 2020-01-06
65.1
best: 74.8 (CORE-ReID)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Domain AdaptationonMarket to Duke
rank-1· 2020-01-06
78
best: 85 (CCTSE)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Domain AdaptationonMarket to Duke
rank-10· 2020-01-06
92.5
best: 94.4 (CORE-ReID)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Domain AdaptationonMarket to Duke
rank-5· 2020-01-06
88.8
best: 92.4 (CORE-ReID)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Domain AdaptationonDuke to Market
mAP· 2020-01-06
71.2
best: 84.4 (CORE-ReID)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Domain AdaptationonDuke to Market
rank-1· 2020-01-06
87.7
best: 93.6 (CORE-ReID)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Domain AdaptationonDuke to Market
rank-10· 2020-01-06
96.9
best: 98.7 (CORE-ReID)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Domain AdaptationonDuke to Market
rank-5· 2020-01-06
94.9
best: 97.7 (CORE-ReID)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Domain AdaptationonVehicleID to VERI-Wild Small
R-1· 2020-01-06
55.6
best: 76.6 (CORE-ReID V2)
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Domain AdaptationonVehicleID to VERI-Wild Small
R-5· 2020-01-06
77.4
best: 90.2 (CORE-ReID V2)
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Domain AdaptationonVehicleID to VERI-Wild Small
mAP· 2020-01-06
27.7
best: 40.2 (CORE-ReID V2)
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Domain AdaptationonVehicleID to VERI-Wild Large
R-1· 2020-01-06
40.2
best: 62.1 (CORE-ReID V2)
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Domain AdaptationonVehicleID to VERI-Wild Large
R-5· 2020-01-06
65
best: 79.8 (CORE-ReID V2)
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Domain AdaptationonVehicleID to VERI-Wild Large
mAP· 2020-01-06
18
best: 27.8 (CORE-ReID V2)
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Domain AdaptationonVehicleID to VeRi-776
Rank-1· 2020-01-06
74.6
best: 80.4 (SPCL)
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Domain AdaptationonVehicleID to VeRi-776
Rank-5· 2020-01-06
82.6
best: 89.05 (CORE-ReID V2)
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Domain AdaptationonVehicleID to VeRi-776
mAP· 2020-01-06
35.3
best: 49.5 (CORE-ReID V2)
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Domain AdaptationonVehicleID to VERI-Wild Medium
R-1· 2020-01-06
47.7
best: 70.2 (CORE-ReID V2)
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Domain AdaptationonVehicleID to VERI-Wild Medium
R-5· 2020-01-06
71.5
best: 86.2 (CORE-ReID V2)
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Domain AdaptationonVehicleID to VERI-Wild Medium
mAP· 2020-01-06
23.6
best: 34.9 (CORE-ReID V2)
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
ClassificationonVGG-Sound
Top-1 Accuracy
66.2
ClassificationonVGG-Sound
Top-5 Accuracy
85.7

Other28 results

Unsupervised Domain AdaptationonDuke to MSMT
mAP· 2020-01-06
23.3
best: 45.2 (CORE-ReID)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Unsupervised Domain AdaptationonDuke to MSMT
rank-1· 2020-01-06
50.1
best: 72.2 (CORE-ReID)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Unsupervised Domain AdaptationonDuke to MSMT
rank-10· 2020-01-06
69.8
best: 86.3 (CORE-ReID)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Unsupervised Domain AdaptationonDuke to MSMT
rank-5· 2020-01-06
63.9
best: 82.9 (CORE-ReID)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Unsupervised Domain AdaptationonMarket to MSMT
mAP· 2020-01-06
22.9
best: 44.1 (CORE-ReID V2)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Unsupervised Domain AdaptationonMarket to MSMT
rank-1· 2020-01-06
49.2
best: 71.3 (CORE-ReID V2)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Unsupervised Domain AdaptationonMarket to MSMT
rank-10· 2020-01-06
68.8
best: 86 (CORE-ReID V2)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Unsupervised Domain AdaptationonMarket to MSMT
rank-5· 2020-01-06
63.1
best: 82.4 (CORE-ReID V2)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Unsupervised Domain AdaptationonMarket to Duke
mAP· 2020-01-06
65.1
best: 74.8 (CORE-ReID)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Unsupervised Domain AdaptationonMarket to Duke
rank-1· 2020-01-06
78
best: 85 (CCTSE)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Unsupervised Domain AdaptationonMarket to Duke
rank-10· 2020-01-06
92.5
best: 94.4 (CORE-ReID)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Unsupervised Domain AdaptationonMarket to Duke
rank-5· 2020-01-06
88.8
best: 92.4 (CORE-ReID)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Unsupervised Domain AdaptationonDuke to Market
mAP· 2020-01-06
71.2
best: 84.4 (CORE-ReID)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Unsupervised Domain AdaptationonDuke to Market
rank-1· 2020-01-06
87.7
best: 93.6 (CORE-ReID)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Unsupervised Domain AdaptationonDuke to Market
rank-10· 2020-01-06
96.9
best: 98.7 (CORE-ReID)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Unsupervised Domain AdaptationonDuke to Market
rank-5· 2020-01-06
94.9
best: 97.7 (CORE-ReID)
SOTA
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Unsupervised Domain AdaptationonVehicleID to VERI-Wild Small
R-1· 2020-01-06
55.6
best: 76.6 (CORE-ReID V2)
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Unsupervised Domain AdaptationonVehicleID to VERI-Wild Small
R-5· 2020-01-06
77.4
best: 90.2 (CORE-ReID V2)
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Unsupervised Domain AdaptationonVehicleID to VERI-Wild Small
mAP· 2020-01-06
27.7
best: 40.2 (CORE-ReID V2)
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Unsupervised Domain AdaptationonVehicleID to VERI-Wild Large
R-1· 2020-01-06
40.2
best: 62.1 (CORE-ReID V2)
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Unsupervised Domain AdaptationonVehicleID to VERI-Wild Large
R-5· 2020-01-06
65
best: 79.8 (CORE-ReID V2)
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Unsupervised Domain AdaptationonVehicleID to VERI-Wild Large
mAP· 2020-01-06
18
best: 27.8 (CORE-ReID V2)
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Unsupervised Domain AdaptationonVehicleID to VeRi-776
Rank-1· 2020-01-06
74.6
best: 80.4 (SPCL)
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Unsupervised Domain AdaptationonVehicleID to VeRi-776
Rank-5· 2020-01-06
82.6
best: 89.05 (CORE-ReID V2)
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Unsupervised Domain AdaptationonVehicleID to VeRi-776
mAP· 2020-01-06
35.3
best: 49.5 (CORE-ReID V2)
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Unsupervised Domain AdaptationonVehicleID to VERI-Wild Medium
R-1· 2020-01-06
47.7
best: 70.2 (CORE-ReID V2)
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Unsupervised Domain AdaptationonVehicleID to VERI-Wild Medium
R-5· 2020-01-06
71.5
best: 86.2 (CORE-ReID V2)
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526
Unsupervised Domain AdaptationonVehicleID to VERI-Wild Medium
mAP· 2020-01-06
23.6
best: 34.9 (CORE-ReID V2)
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification arXiv:2001.01526

Adversarial14 results

Text GenerationonLSMDC-E
BLEU-1
18.52
Text GenerationonLSMDC-E
BLEU-2
5.99
Text GenerationonLSMDC-E
BLEU-3
2.51
Text GenerationonLSMDC-E
BLEU-4
1.13
Text GenerationonLSMDC-E
CIDEr
12.41
Text GenerationonLSMDC-E
METEOR
12.87
Text GenerationonLSMDC-E
ROUGE-L
20.99
Text GenerationonVIST-E
BLEU-1
22.87
Text GenerationonVIST-E
BLEU-2
8.68
Text GenerationonVIST-E
BLEU-3
4.38
Text GenerationonVIST-E
BLEU-4
2.61
Text GenerationonVIST-E
CIDEr
25.41
Text GenerationonVIST-E
METEOR
15.55
Text GenerationonVIST-E
ROUGE-L
23.61

Robots3 results

Activity RecognitiononEPIC-KITCHENS-100
Action@1
47.8
best: 58.3 (LLaVAction)
Activity RecognitiononEPIC-KITCHENS-100
Noun@1
61
best: 69 (LLaVAction)
Activity RecognitiononEPIC-KITCHENS-100
Verb@1
70.1
best: 76.2 (TIM)

Time Series3 results

Action RecognitiononEPIC-KITCHENS-100
Action@1
47.8
best: 58.3 (LLaVAction)
Action RecognitiononEPIC-KITCHENS-100
Noun@1
61
best: 69 (LLaVAction)
Action RecognitiononEPIC-KITCHENS-100
Verb@1
70.1
best: 76.2 (TIM)

Miscellaneous2 results

Multi-modal ClassificationonVGG-Sound
Top-1 Accuracy
66.2
Multi-modal ClassificationonVGG-Sound
Top-5 Accuracy
85.7