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Models/ARN

ARN

Reported on 14 benchmarks across 4 tasks · 2 papers · 12 SOTA

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

Methodology4 results

Domain AdaptationonDuke to Market
mAP· 2018-04-25
39.4
best: 84.4 (CORE-ReID)
SOTA
Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification arXiv:1804.09347
Domain AdaptationonDuke to Market
rank-1· 2018-04-25
70.3
best: 93.6 (CORE-ReID)
SOTA
Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification arXiv:1804.09347
Domain AdaptationonDuke to Market
rank-10· 2018-04-25
86.3
best: 98.7 (CORE-ReID)
SOTA
Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification arXiv:1804.09347
Domain AdaptationonDuke to Market
rank-5· 2018-04-25
80.4
best: 97.7 (CORE-ReID)
SOTA
Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification arXiv:1804.09347

Other4 results

Unsupervised Domain AdaptationonDuke to Market
mAP· 2018-04-25
39.4
best: 84.4 (CORE-ReID)
SOTA
Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification arXiv:1804.09347
Unsupervised Domain AdaptationonDuke to Market
rank-1· 2018-04-25
70.3
best: 93.6 (CORE-ReID)
SOTA
Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification arXiv:1804.09347
Unsupervised Domain AdaptationonDuke to Market
rank-10· 2018-04-25
86.3
best: 98.7 (CORE-ReID)
SOTA
Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification arXiv:1804.09347
Unsupervised Domain AdaptationonDuke to Market
rank-5· 2018-04-25
80.4
best: 97.7 (CORE-ReID)
SOTA
Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification arXiv:1804.09347

Robots3 results

Activity RecognitiononHMDB51
1:1 Accuracy· 2020-01-12
60.6
best: 77.3 (STRM)
SOTA
Few-shot Action Recognition with Permutation-invariant Attention arXiv:2001.03905
Activity RecognitiononUCF101
1:1 Accuracy· 2020-01-12
83.1
best: 96.8 (STRM)
SOTA
Few-shot Action Recognition with Permutation-invariant Attention arXiv:2001.03905
Activity RecognitiononKinetics-100
Accuracy· 2020-01-12
82.4
best: 94.7 (Name Tuning)
Few-shot Action Recognition with Permutation-invariant Attention arXiv:2001.03905

Time Series3 results

Action RecognitiononHMDB51
1:1 Accuracy· 2020-01-12
60.6
best: 77.3 (STRM)
SOTA
Few-shot Action Recognition with Permutation-invariant Attention arXiv:2001.03905
Action RecognitiononUCF101
1:1 Accuracy· 2020-01-12
83.1
best: 96.8 (STRM)
SOTA
Few-shot Action Recognition with Permutation-invariant Attention arXiv:2001.03905
Action RecognitiononKinetics-100
Accuracy· 2020-01-12
82.4
best: 94.7 (Name Tuning)
Few-shot Action Recognition with Permutation-invariant Attention arXiv:2001.03905