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Models/PCL

PCL

Reported on 21 benchmarks across 11 tasks · 3 papers · 15 SOTA

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

Methodology15 results

Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2021-07-26
49.1
best: 10.9 (LPT)
SOTA
Parametric Contrastive Learning arXiv:2107.12028
Long-tail LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2021-07-26
49.1
best: 10.9 (LPT)
SOTA
Parametric Contrastive Learning arXiv:2107.12028
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2021-07-26
49.1
best: 10.9 (LPT)
SOTA
Parametric Contrastive Learning arXiv:2107.12028
3DonHICO-DET
MAP· 2018-07-09
3.62
best: 5.39 (Spatial Prior)
SOTA
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection arXiv:1807.03342
3DonCharades
MAP· 2018-07-09
2.83
best: 10.03 (Spatial Prior)
SOTA
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection arXiv:1807.03342
2D ClassificationonHICO-DET
MAP· 2018-07-09
3.62
best: 5.39 (Spatial Prior)
SOTA
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection arXiv:1807.03342
2D ClassificationonCharades
MAP· 2018-07-09
2.83
best: 10.03 (Spatial Prior)
SOTA
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection arXiv:1807.03342
2D Object DetectiononHICO-DET
MAP· 2018-07-09
3.62
best: 5.39 (Spatial Prior)
SOTA
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection arXiv:1807.03342
2D Object DetectiononCharades
MAP· 2018-07-09
2.83
best: 10.03 (Spatial Prior)
SOTA
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection arXiv:1807.03342
16konHICO-DET
MAP· 2018-07-09
3.62
best: 5.39 (Spatial Prior)
SOTA
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection arXiv:1807.03342
16konCharades
MAP· 2018-07-09
2.83
best: 10.03 (Spatial Prior)
SOTA
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection arXiv:1807.03342
Domain AdaptationonOffice-Home
Accuracy· 2021-11-11
74.5
best: 92.3 (SWG)
Probabilistic Contrastive Learning for Domain Adaptation arXiv:2111.06021
Generalized Few-Shot ClassificationonCIFAR-10-LT (ρ=10)
Error Rate· 2021-07-26
9.14
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
Parametric Contrastive Learning arXiv:2107.12028
Long-tail LearningonCIFAR-10-LT (ρ=10)
Error Rate· 2021-07-26
9.14
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
Parametric Contrastive Learning arXiv:2107.12028
Generalized Few-Shot LearningonCIFAR-10-LT (ρ=10)
Error Rate· 2021-07-26
9.14
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
Parametric Contrastive Learning arXiv:2107.12028

Computer Vision6 results

Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2021-07-26
49.1
best: 10.9 (LPT)
SOTA
Parametric Contrastive Learning arXiv:2107.12028
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2021-07-26
49.1
best: 10.9 (LPT)
SOTA
Parametric Contrastive Learning arXiv:2107.12028
Object DetectiononHICO-DET
MAP· 2018-07-09
3.62
best: 5.39 (Spatial Prior)
SOTA
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection arXiv:1807.03342
Object DetectiononCharades
MAP· 2018-07-09
2.83
best: 10.03 (Spatial Prior)
SOTA
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection arXiv:1807.03342
Image ClassificationonCIFAR-10-LT (ρ=10)
Error Rate· 2021-07-26
9.14
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
Parametric Contrastive Learning arXiv:2107.12028
Few-Shot Image ClassificationonCIFAR-10-LT (ρ=10)
Error Rate· 2021-07-26
9.14
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
Parametric Contrastive Learning arXiv:2107.12028