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Reported on 28 benchmarks across 2 tasks · 1 paper · 24 SOTA

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

Computer Vision28 results

Action LocalizationonIKEA ASM
Accuracy· 2019-04-08
23.1
best: 51.2 (HVQ)
SOTA
Unsupervised learning of action classes with continuous temporal embedding arXiv:1904.04189
Action LocalizationonIKEA ASM
F1· 2019-04-08
22.6
best: 30.7 (HVQ)
SOTA
Unsupervised learning of action classes with continuous temporal embedding arXiv:1904.04189
Action LocalizationonIKEA ASM
JSD· 2019-04-08
73.7
best: 88.7 (ASOT)
SOTA
Unsupervised learning of action classes with continuous temporal embedding arXiv:1904.04189
Action LocalizationonIKEA ASM
Precision· 2019-04-08
28.1
best: 37.7 (HVQ)
SOTA
Unsupervised learning of action classes with continuous temporal embedding arXiv:1904.04189
Action LocalizationonIKEA ASM
Recall· 2019-04-08
18.9
best: 25.9 (HVQ)
SOTA
Unsupervised learning of action classes with continuous temporal embedding arXiv:1904.04189
Action LocalizationonYoutube INRIA Instructional
Acc· 2019-04-08
39
best: 62.4 (TSA (FINCH))
SOTA
Unsupervised learning of action classes with continuous temporal embedding arXiv:1904.04189
Action LocalizationonYoutube INRIA Instructional
Precision· 2019-04-08
39.3
best: 47.6 (ASOT)
SOTA
Unsupervised learning of action classes with continuous temporal embedding arXiv:1904.04189
Action LocalizationonYoutube INRIA Instructional
Recall· 2019-04-08
22.1
best: 38.7 (HVQ)
SOTA
Unsupervised learning of action classes with continuous temporal embedding arXiv:1904.04189
Action LocalizationonBreakfast
F1· 2019-04-08
26.4
best: 58 (TSA (Kmeans))
SOTA
Unsupervised learning of action classes with continuous temporal embedding arXiv:1904.04189
Action LocalizationonBreakfast
JSD· 2019-04-08
87.4
best: 94.9 (ASOT)
SOTA
Unsupervised learning of action classes with continuous temporal embedding arXiv:1904.04189
Action LocalizationonBreakfast
Precision· 2019-04-08
25.8
best: 37.7 (TOT)
SOTA
Unsupervised learning of action classes with continuous temporal embedding arXiv:1904.04189
Action LocalizationonBreakfast
Recall· 2019-04-08
27
best: 44.9 (HVQ)
SOTA
Unsupervised learning of action classes with continuous temporal embedding arXiv:1904.04189
Action SegmentationonIKEA ASM
Accuracy· 2019-04-08
23.1
best: 51.2 (HVQ)
SOTA
Unsupervised learning of action classes with continuous temporal embedding arXiv:1904.04189
Action SegmentationonIKEA ASM
F1· 2019-04-08
22.6
best: 30.7 (HVQ)
SOTA
Unsupervised learning of action classes with continuous temporal embedding arXiv:1904.04189
Action SegmentationonIKEA ASM
JSD· 2019-04-08
73.7
best: 88.7 (ASOT)
SOTA
Unsupervised learning of action classes with continuous temporal embedding arXiv:1904.04189
Action SegmentationonIKEA ASM
Precision· 2019-04-08
28.1
best: 37.7 (HVQ)
SOTA
Unsupervised learning of action classes with continuous temporal embedding arXiv:1904.04189
Action SegmentationonIKEA ASM
Recall· 2019-04-08
18.9
best: 25.9 (HVQ)
SOTA
Unsupervised learning of action classes with continuous temporal embedding arXiv:1904.04189
Action SegmentationonYoutube INRIA Instructional
Acc· 2019-04-08
39
best: 62.4 (TSA (FINCH))
SOTA
Unsupervised learning of action classes with continuous temporal embedding arXiv:1904.04189
Action SegmentationonYoutube INRIA Instructional
Precision· 2019-04-08
39.3
best: 47.6 (ASOT)
SOTA
Unsupervised learning of action classes with continuous temporal embedding arXiv:1904.04189
Action SegmentationonYoutube INRIA Instructional
Recall· 2019-04-08
22.1
best: 38.7 (HVQ)
SOTA
Unsupervised learning of action classes with continuous temporal embedding arXiv:1904.04189
Action SegmentationonBreakfast
F1· 2019-04-08
26.4
best: 58 (TSA (Kmeans))
SOTA
Unsupervised learning of action classes with continuous temporal embedding arXiv:1904.04189
Action SegmentationonBreakfast
JSD· 2019-04-08
87.4
best: 94.9 (ASOT)
SOTA
Unsupervised learning of action classes with continuous temporal embedding arXiv:1904.04189
Action SegmentationonBreakfast
Precision· 2019-04-08
25.8
best: 37.7 (TOT)
SOTA
Unsupervised learning of action classes with continuous temporal embedding arXiv:1904.04189
Action SegmentationonBreakfast
Recall· 2019-04-08
27
best: 44.9 (HVQ)
SOTA
Unsupervised learning of action classes with continuous temporal embedding arXiv:1904.04189
Action LocalizationonYoutube INRIA Instructional
F1· 2019-04-08
28.3
best: 55.3 (TSA (Kmeans))
Unsupervised learning of action classes with continuous temporal embedding arXiv:1904.04189
Action LocalizationonBreakfast
Acc· 2019-04-08
41.8
best: 78 (AdaFocus (newly extracted I3D-features, LT-Context model))
Unsupervised learning of action classes with continuous temporal embedding arXiv:1904.04189
Action SegmentationonYoutube INRIA Instructional
F1· 2019-04-08
28.3
best: 55.3 (TSA (Kmeans))
Unsupervised learning of action classes with continuous temporal embedding arXiv:1904.04189
Action SegmentationonBreakfast
Acc· 2019-04-08
41.8
best: 78 (AdaFocus (newly extracted I3D-features, LT-Context model))
Unsupervised learning of action classes with continuous temporal embedding arXiv:1904.04189