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Models/SV-T

SV-T

Reported on 12 benchmarks across 2 tasks · 1 paper · 12 SOTA

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

Methodology12 results

Continual Learningon CUB-200-2011
Average Accuracy· 2023-03-27
78.65
best: 79.2 (PriViLege (ViT-L))
SOTA
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning arXiv:2303.15494
Continual Learningon CUB-200-2011
Last Accuracy · 2023-03-27
76.17
best: 81.19 (CoACT)
SOTA
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning arXiv:2303.15494
Continual LearningonCIFAR-100
Average Accuracy· 2023-03-27
76.84
best: 88.08 (PriViLege)
SOTA
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning arXiv:2303.15494
Continual LearningonCIFAR-100
Last Accuracy· 2023-03-27
69.75
best: 86.06 (PriViLege)
SOTA
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning arXiv:2303.15494
Continual Learningonmini-Imagenet
Average Accuracy· 2023-03-27
85.07
best: 95.27 (PriViLege)
SOTA
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning arXiv:2303.15494
Continual Learningonmini-Imagenet
Last Accuracy · 2023-03-27
81.65
best: 96.24 (CoACT)
SOTA
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning arXiv:2303.15494
Class Incremental Learningon CUB-200-2011
Average Accuracy· 2023-03-27
78.65
best: 79.2 (PriViLege (ViT-L))
SOTA
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning arXiv:2303.15494
Class Incremental Learningon CUB-200-2011
Last Accuracy · 2023-03-27
76.17
best: 81.19 (CoACT)
SOTA
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning arXiv:2303.15494
Class Incremental LearningonCIFAR-100
Average Accuracy· 2023-03-27
76.84
best: 88.08 (PriViLege)
SOTA
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning arXiv:2303.15494
Class Incremental LearningonCIFAR-100
Last Accuracy· 2023-03-27
69.75
best: 86.06 (PriViLege)
SOTA
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning arXiv:2303.15494
Class Incremental Learningonmini-Imagenet
Average Accuracy· 2023-03-27
85.07
best: 95.27 (PriViLege)
SOTA
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning arXiv:2303.15494
Class Incremental Learningonmini-Imagenet
Last Accuracy · 2023-03-27
81.65
best: 96.24 (CoACT)
SOTA
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning arXiv:2303.15494