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Models/GCL

GCL

Reported on 19 benchmarks across 7 tasks · 2 papers

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

Computer Vision10 results

Point Cloud RegistrationonRotKITTI Registration Benchmark
RR@(1,0.1)· 2023-07-19
28.8
best: 73.3 (UMERegRobust)
Density-invariant Features for Distant Point Cloud Registration arXiv:2307.09788
Point Cloud RegistrationonRotKITTI Registration Benchmark
RR@(1.5,0.3)· 2023-07-19
40.1
best: 81.1 (UMERegRobust)
Density-invariant Features for Distant Point Cloud Registration arXiv:2307.09788
3D Point Cloud InterpolationonRotKITTI Registration Benchmark
RR@(1,0.1)· 2023-07-19
28.8
best: 73.3 (UMERegRobust)
Density-invariant Features for Distant Point Cloud Registration arXiv:2307.09788
3D Point Cloud InterpolationonRotKITTI Registration Benchmark
RR@(1.5,0.3)· 2023-07-19
40.1
best: 81.1 (UMERegRobust)
Density-invariant Features for Distant Point Cloud Registration arXiv:2307.09788
Image ClassificationonCIFAR-100-LT (ρ=50)
Error Rate· 2023-05-19
46.4
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment arXiv:2305.11733
Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2023-05-19
51.29
best: 10.9 (LPT)
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment arXiv:2305.11733
Image ClassificationonCIFAR-10-LT (ρ=100)
Error Rate· 2023-05-19
17.32
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment arXiv:2305.11733
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=50)
Error Rate· 2023-05-19
46.4
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment arXiv:2305.11733
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2023-05-19
51.29
best: 10.9 (LPT)
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment arXiv:2305.11733
Few-Shot Image ClassificationonCIFAR-10-LT (ρ=100)
Error Rate· 2023-05-19
17.32
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment arXiv:2305.11733

Methodology9 results

Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=50)
Error Rate· 2023-05-19
46.4
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment arXiv:2305.11733
Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2023-05-19
51.29
best: 10.9 (LPT)
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment arXiv:2305.11733
Generalized Few-Shot ClassificationonCIFAR-10-LT (ρ=100)
Error Rate· 2023-05-19
17.32
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment arXiv:2305.11733
Long-tail LearningonCIFAR-100-LT (ρ=50)
Error Rate· 2023-05-19
46.4
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment arXiv:2305.11733
Long-tail LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2023-05-19
51.29
best: 10.9 (LPT)
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment arXiv:2305.11733
Long-tail LearningonCIFAR-10-LT (ρ=100)
Error Rate· 2023-05-19
17.32
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment arXiv:2305.11733
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=50)
Error Rate· 2023-05-19
46.4
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment arXiv:2305.11733
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2023-05-19
51.29
best: 10.9 (LPT)
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment arXiv:2305.11733
Generalized Few-Shot LearningonCIFAR-10-LT (ρ=100)
Error Rate· 2023-05-19
17.32
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment arXiv:2305.11733