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Models/AE

AE

Reported on 54 benchmarks across 10 tasks · 2 papers · 32 SOTA

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

Methodology18 results

3DonCOCO test-dev
AP50· 2016-11-16
86.8
best: 95 (ViTPose (ViTAE-G, ensemble))
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
3DonCOCO test-dev
AP75· 2016-11-16
72.3
best: 88.2 (ViTPose (ViTAE-G, ensemble))
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
3DonCOCO test-dev
APL· 2016-11-16
72.6
best: 86.5 (PoseBH-H)
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
3DonCOCO test-dev
APM· 2016-11-16
60.6
best: 83.8 (4xRSN-50 (ensemble))
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
3DonCOCO test-dev
AR· 2016-11-16
70.2
best: 88.2 (Simple Pose)
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
3DonCOCO test-dev
AR50· 2016-11-16
89.5
best: 96.3 (MSPN)
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
3DonCOCO test-dev
AR75· 2016-11-16
76
best: 88.2 (Simple Base+*)
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
3DonCOCO test-dev
ARL· 2016-11-16
78.1
best: 87.2 (Simple Base+*)
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
3DonCOCO test-dev
ARM· 2016-11-16
64.6
best: 77.5 (MSPN)
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
Domain AdaptationonVehicleID to VERI-Wild Small
R-1· 2019-07-09
67
best: 76.6 (CORE-ReID V2)
Adaptive Exploration for Unsupervised Person Re-Identification arXiv:1907.04194
Domain AdaptationonVehicleID to VERI-Wild Small
R-5· 2019-07-09
88.5
best: 90.2 (CORE-ReID V2)
Adaptive Exploration for Unsupervised Person Re-Identification arXiv:1907.04194
Domain AdaptationonVehicleID to VERI-Wild Small
mAP· 2019-07-09
29.9
best: 40.2 (CORE-ReID V2)
Adaptive Exploration for Unsupervised Person Re-Identification arXiv:1907.04194
Domain AdaptationonVehicleID to VERI-Wild Large
R-1· 2019-07-09
53.1
best: 62.1 (CORE-ReID V2)
Adaptive Exploration for Unsupervised Person Re-Identification arXiv:1907.04194
Domain AdaptationonVehicleID to VERI-Wild Large
R-5· 2019-07-09
73.7
best: 79.8 (CORE-ReID V2)
Adaptive Exploration for Unsupervised Person Re-Identification arXiv:1907.04194
Domain AdaptationonVehicleID to VERI-Wild Large
mAP· 2019-07-09
20.9
best: 27.8 (CORE-ReID V2)
Adaptive Exploration for Unsupervised Person Re-Identification arXiv:1907.04194
Domain AdaptationonVehicleID to VERI-Wild Medium
R-1· 2019-07-09
61.8
best: 70.2 (CORE-ReID V2)
Adaptive Exploration for Unsupervised Person Re-Identification arXiv:1907.04194
Domain AdaptationonVehicleID to VERI-Wild Medium
R-5· 2019-07-09
81.5
best: 86.2 (CORE-ReID V2)
Adaptive Exploration for Unsupervised Person Re-Identification arXiv:1907.04194
Domain AdaptationonVehicleID to VERI-Wild Medium
mAP· 2019-07-09
26.2
best: 34.9 (CORE-ReID V2)
Adaptive Exploration for Unsupervised Person Re-Identification arXiv:1907.04194

Computer Vision9 results

Pose EstimationonCOCO test-dev
AP50· 2016-11-16
86.8
best: 95 (ViTPose (ViTAE-G, ensemble))
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
Pose EstimationonCOCO test-dev
AP75· 2016-11-16
72.3
best: 88.2 (ViTPose (ViTAE-G, ensemble))
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
Pose EstimationonCOCO test-dev
APL· 2016-11-16
72.6
best: 86.5 (PoseBH-H)
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
Pose EstimationonCOCO test-dev
APM· 2016-11-16
60.6
best: 83.8 (4xRSN-50 (ensemble))
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
Pose EstimationonCOCO test-dev
AR· 2016-11-16
70.2
best: 88.2 (Simple Pose)
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
Pose EstimationonCOCO test-dev
AR50· 2016-11-16
89.5
best: 96.3 (MSPN)
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
Pose EstimationonCOCO test-dev
AR75· 2016-11-16
76
best: 88.2 (Simple Base+*)
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
Pose EstimationonCOCO test-dev
ARL· 2016-11-16
78.1
best: 87.2 (Simple Base+*)
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
Pose EstimationonCOCO test-dev
ARM· 2016-11-16
64.6
best: 77.5 (MSPN)
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424

Audio9 results

1 Image, 2*2 StitchionCOCO test-dev
AP50· 2016-11-16
86.8
best: 95 (ViTPose (ViTAE-G, ensemble))
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
1 Image, 2*2 StitchionCOCO test-dev
AP75· 2016-11-16
72.3
best: 88.2 (ViTPose (ViTAE-G, ensemble))
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
1 Image, 2*2 StitchionCOCO test-dev
APL· 2016-11-16
72.6
best: 86.5 (PoseBH-H)
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
1 Image, 2*2 StitchionCOCO test-dev
APM· 2016-11-16
60.6
best: 83.8 (4xRSN-50 (ensemble))
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
1 Image, 2*2 StitchionCOCO test-dev
AR· 2016-11-16
70.2
best: 88.2 (Simple Pose)
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
1 Image, 2*2 StitchionCOCO test-dev
AR50· 2016-11-16
89.5
best: 96.3 (MSPN)
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
1 Image, 2*2 StitchionCOCO test-dev
AR75· 2016-11-16
76
best: 88.2 (Simple Base+*)
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
1 Image, 2*2 StitchionCOCO test-dev
ARL· 2016-11-16
78.1
best: 87.2 (Simple Base+*)
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
1 Image, 2*2 StitchionCOCO test-dev
ARM· 2016-11-16
64.6
best: 77.5 (MSPN)
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424

Other9 results

Unsupervised Domain AdaptationonVehicleID to VERI-Wild Small
R-1· 2019-07-09
67
best: 76.6 (CORE-ReID V2)
Adaptive Exploration for Unsupervised Person Re-Identification arXiv:1907.04194
Unsupervised Domain AdaptationonVehicleID to VERI-Wild Small
R-5· 2019-07-09
88.5
best: 90.2 (CORE-ReID V2)
Adaptive Exploration for Unsupervised Person Re-Identification arXiv:1907.04194
Unsupervised Domain AdaptationonVehicleID to VERI-Wild Small
mAP· 2019-07-09
29.9
best: 40.2 (CORE-ReID V2)
Adaptive Exploration for Unsupervised Person Re-Identification arXiv:1907.04194
Unsupervised Domain AdaptationonVehicleID to VERI-Wild Large
R-1· 2019-07-09
53.1
best: 62.1 (CORE-ReID V2)
Adaptive Exploration for Unsupervised Person Re-Identification arXiv:1907.04194
Unsupervised Domain AdaptationonVehicleID to VERI-Wild Large
R-5· 2019-07-09
73.7
best: 79.8 (CORE-ReID V2)
Adaptive Exploration for Unsupervised Person Re-Identification arXiv:1907.04194
Unsupervised Domain AdaptationonVehicleID to VERI-Wild Large
mAP· 2019-07-09
20.9
best: 27.8 (CORE-ReID V2)
Adaptive Exploration for Unsupervised Person Re-Identification arXiv:1907.04194
Unsupervised Domain AdaptationonVehicleID to VERI-Wild Medium
R-1· 2019-07-09
61.8
best: 70.2 (CORE-ReID V2)
Adaptive Exploration for Unsupervised Person Re-Identification arXiv:1907.04194
Unsupervised Domain AdaptationonVehicleID to VERI-Wild Medium
R-5· 2019-07-09
81.5
best: 86.2 (CORE-ReID V2)
Adaptive Exploration for Unsupervised Person Re-Identification arXiv:1907.04194
Unsupervised Domain AdaptationonVehicleID to VERI-Wild Medium
mAP· 2019-07-09
26.2
best: 34.9 (CORE-ReID V2)
Adaptive Exploration for Unsupervised Person Re-Identification arXiv:1907.04194

Knowledge Base5 results

2D Human Pose EstimationonCOCO-WholeBody
WB· uses extra data· 2016-11-16
27.4
best: 70.2 (RTMW-x)
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
2D Human Pose EstimationonCOCO-WholeBody
body· uses extra data· 2016-11-16
40.5
best: 76.9 (PCNet)
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
2D Human Pose EstimationonCOCO-WholeBody
face· uses extra data· 2016-11-16
47.7
best: 89.7 (PCNet)
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
2D Human Pose EstimationonCOCO-WholeBody
foot· uses extra data· 2016-11-16
7.7
best: 79.8 (ZoomNet (V0.5 data))
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424
2D Human Pose EstimationonCOCO-WholeBody
hand· uses extra data· 2016-11-16
34.1
best: 66.4 (RTMW-x)
SOTA
Associative Embedding: End-to-End Learning for Joint Detection and Grouping arXiv:1611.05424

Robots2 results

Activity Recognitionon5GAD-2022
Latency, ms
0.236
best: 0.307 (β-VAE)
Muscle-Computer Interfaces (MCIs)on5GAD-2022
Latency, ms
0.236
best: 0.307 (β-VAE)

Time Series2 results

Time Series AnalysisonUCR Anomaly Archive
accuracy
0.236
best: 0.708 (TimeVQVAE-AD)
Time Series Anomaly DetectiononUCR Anomaly Archive
accuracy
0.236
best: 0.708 (TimeVQVAE-AD)