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Models/Hybrid-PSC

Hybrid-PSC

Reported on 15 benchmarks across 5 tasks · 1 paper · 5 SOTA

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

Methodology9 results

Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=10)
Error Rate· 2021-03-26
37.63
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification arXiv:2103.14267
Long-tail LearningonCIFAR-100-LT (ρ=10)
Error Rate· 2021-03-26
37.63
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification arXiv:2103.14267
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=10)
Error Rate· 2021-03-26
37.63
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification arXiv:2103.14267
Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=50)
Error Rate· 2021-03-26
51.07
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification arXiv:2103.14267
Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2021-03-26
55.03
best: 10.9 (LPT)
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification arXiv:2103.14267
Long-tail LearningonCIFAR-100-LT (ρ=50)
Error Rate· 2021-03-26
51.07
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification arXiv:2103.14267
Long-tail LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2021-03-26
55.03
best: 10.9 (LPT)
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification arXiv:2103.14267
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=50)
Error Rate· 2021-03-26
51.07
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification arXiv:2103.14267
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2021-03-26
55.03
best: 10.9 (LPT)
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification arXiv:2103.14267

Computer Vision6 results

Image ClassificationonCIFAR-100-LT (ρ=10)
Error Rate· 2021-03-26
37.63
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification arXiv:2103.14267
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=10)
Error Rate· 2021-03-26
37.63
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification arXiv:2103.14267
Image ClassificationonCIFAR-100-LT (ρ=50)
Error Rate· 2021-03-26
51.07
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification arXiv:2103.14267
Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2021-03-26
55.03
best: 10.9 (LPT)
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification arXiv:2103.14267
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=50)
Error Rate· 2021-03-26
51.07
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification arXiv:2103.14267
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2021-03-26
55.03
best: 10.9 (LPT)
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification arXiv:2103.14267