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Models/CPG

CPG

Reported on 13 benchmarks across 7 tasks · 1 paper · 12 SOTA

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

Methodology8 results

3DonAffectNet
Accuracy (7 emotion)· uses extra data· 2019-10-15
63.57
best: 72.93 (ResEmoteNet)
SOTA
Compacting, Picking and Growing for Unforgetting Continual Learning arXiv:1910.06562
Continual LearningonSketch (Fine-grained 6 Tasks)
Accuracy· 2019-10-15
80.33
best: 80.77 (CondConvContinual)
SOTA
Compacting, Picking and Growing for Unforgetting Continual Learning arXiv:1910.06562
Continual LearningonStanford Cars (Fine-grained 6 Tasks)
Accuracy· 2019-10-15
92.8
SOTA
Compacting, Picking and Growing for Unforgetting Continual Learning arXiv:1910.06562
Continual LearningonCUBS (Fine-grained 6 Tasks)
Accuracy· 2019-10-15
83.59
best: 84.26 (CondConvContinual)
SOTA
Compacting, Picking and Growing for Unforgetting Continual Learning arXiv:1910.06562
Continual LearningonWikiart (Fine-grained 6 Tasks)
Accuracy· 2019-10-15
77.15
best: 78.32 (CondConvContinual)
SOTA
Compacting, Picking and Growing for Unforgetting Continual Learning arXiv:1910.06562
Continual LearningonCifar100 (20 tasks)
Average Accuracy· 2019-10-15
80.9
best: 94.99 (Model Zoo-Continual)
SOTA
Compacting, Picking and Growing for Unforgetting Continual Learning arXiv:1910.06562
Continual LearningonFlowers (Fine-grained 6 Tasks)
Accuracy· 2019-10-15
96.62
best: 97.16 (CondConvContinual)
SOTA
Compacting, Picking and Growing for Unforgetting Continual Learning arXiv:1910.06562
Continual LearningonImageNet (Fine-grained 6 Tasks)
Accuracy· 2019-10-15
75.81
best: 76.16 (ProgressiveNet)
Compacting, Picking and Growing for Unforgetting Continual Learning arXiv:1910.06562

Computer Vision3 results

Face ReconstructiononAffectNet
Accuracy (7 emotion)· uses extra data· 2019-10-15
63.57
best: 72.93 (ResEmoteNet)
SOTA
Compacting, Picking and Growing for Unforgetting Continual Learning arXiv:1910.06562
Facial Expression Recognition (FER)onAffectNet
Accuracy (7 emotion)· uses extra data· 2019-10-15
63.57
best: 72.93 (ResEmoteNet)
SOTA
Compacting, Picking and Growing for Unforgetting Continual Learning arXiv:1910.06562
3D Face ReconstructiononAffectNet
Accuracy (7 emotion)· uses extra data· 2019-10-15
63.57
best: 72.93 (ResEmoteNet)
SOTA
Compacting, Picking and Growing for Unforgetting Continual Learning arXiv:1910.06562

Music1 result

Facial Recognition and ModellingonAffectNet
Accuracy (7 emotion)· uses extra data· 2019-10-15
63.57
best: 72.93 (ResEmoteNet)
SOTA
Compacting, Picking and Growing for Unforgetting Continual Learning arXiv:1910.06562

Medical1 result

3D Face ModellingonAffectNet
Accuracy (7 emotion)· uses extra data· 2019-10-15
63.57
best: 72.93 (ResEmoteNet)
SOTA
Compacting, Picking and Growing for Unforgetting Continual Learning arXiv:1910.06562