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Models/VAT (ResNet-50)

VAT (ResNet-50)

Reported on 30 benchmarks across 3 tasks · 2 papers

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

Methodology20 results

Few-Shot LearningonFSS-1000 (5-shot)
FB-IoU· 2022-07-22
94.2
best: 94.4 (VAT (ResNet-101))
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation arXiv:2207.10866
Few-Shot LearningonFSS-1000 (5-shot)
Mean IoU· 2022-07-22
90.7
best: 91.7 (DACM (ResNet-101))
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation arXiv:2207.10866
Few-Shot LearningonFSS-1000 (1-shot)
FB-IoU· 2022-07-22
93.8
best: 94 (VAT (ResNet-101))
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation arXiv:2207.10866
Few-Shot LearningonFSS-1000 (1-shot)
Mean IoU· 2022-07-22
90.1
best: 90.8 (DACM (ResNet-101))
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation arXiv:2207.10866
Few-Shot LearningonPASCAL-5i (1-Shot)
FB-IoU· 2022-07-22
77.8
best: 86.2 (PGMA-Net (ResNet-101))
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation arXiv:2207.10866
Few-Shot LearningonPASCAL-5i (1-Shot)
Mean IoU· 2022-07-22
65.5
best: 83.2 (SegGPT (ViT))
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation arXiv:2207.10866
Few-Shot LearningonPASCAL-5i (5-Shot)
FB-IoU· 2022-07-22
80.9
best: 86.9 (PGMA-Net (ResNet-101))
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation arXiv:2207.10866
Few-Shot LearningonPASCAL-5i (5-Shot)
Mean IoU· 2022-07-22
70.1
best: 89.8 (SegGPT (ViT))
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation arXiv:2207.10866
Meta-LearningonFSS-1000 (5-shot)
FB-IoU· 2022-07-22
94.2
best: 94.4 (VAT (ResNet-101))
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation arXiv:2207.10866
Meta-LearningonFSS-1000 (5-shot)
Mean IoU· 2022-07-22
90.7
best: 91.7 (DACM (ResNet-101))
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation arXiv:2207.10866
Meta-LearningonFSS-1000 (1-shot)
FB-IoU· 2022-07-22
93.8
best: 94 (VAT (ResNet-101))
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation arXiv:2207.10866
Meta-LearningonFSS-1000 (1-shot)
Mean IoU· 2022-07-22
90.1
best: 90.8 (DACM (ResNet-101))
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation arXiv:2207.10866
Meta-LearningonPASCAL-5i (1-Shot)
FB-IoU· 2022-07-22
77.8
best: 86.2 (PGMA-Net (ResNet-101))
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation arXiv:2207.10866
Meta-LearningonPASCAL-5i (1-Shot)
Mean IoU· 2022-07-22
65.5
best: 83.2 (SegGPT (ViT))
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation arXiv:2207.10866
Meta-LearningonPASCAL-5i (5-Shot)
FB-IoU· 2022-07-22
80.9
best: 86.9 (PGMA-Net (ResNet-101))
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation arXiv:2207.10866
Meta-LearningonPASCAL-5i (5-Shot)
Mean IoU· 2022-07-22
70.1
best: 89.8 (SegGPT (ViT))
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation arXiv:2207.10866
Few-Shot LearningonCOCO-20i (5-shot)
Mean IoU· 2021-12-22
47.9
best: 67.9 (SegGPT (ViT))
Cost Aggregation Is All You Need for Few-Shot Segmentation arXiv:2112.11685
Few-Shot LearningonCOCO-20i (1-shot)
Mean IoU· 2021-12-22
41.3
best: 59.4 (PGMA-Net (ResNet-101))
Cost Aggregation Is All You Need for Few-Shot Segmentation arXiv:2112.11685
Meta-LearningonCOCO-20i (5-shot)
Mean IoU· 2021-12-22
47.9
best: 67.9 (SegGPT (ViT))
Cost Aggregation Is All You Need for Few-Shot Segmentation arXiv:2112.11685
Meta-LearningonCOCO-20i (1-shot)
Mean IoU· 2021-12-22
41.3
best: 59.4 (PGMA-Net (ResNet-101))
Cost Aggregation Is All You Need for Few-Shot Segmentation arXiv:2112.11685

Computer Vision10 results

Few-Shot Semantic SegmentationonFSS-1000 (5-shot)
FB-IoU· 2022-07-22
94.2
best: 94.4 (VAT (ResNet-101))
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation arXiv:2207.10866
Few-Shot Semantic SegmentationonFSS-1000 (5-shot)
Mean IoU· 2022-07-22
90.7
best: 91.7 (DACM (ResNet-101))
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation arXiv:2207.10866
Few-Shot Semantic SegmentationonFSS-1000 (1-shot)
FB-IoU· 2022-07-22
93.8
best: 94 (VAT (ResNet-101))
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation arXiv:2207.10866
Few-Shot Semantic SegmentationonFSS-1000 (1-shot)
Mean IoU· 2022-07-22
90.1
best: 90.8 (DACM (ResNet-101))
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation arXiv:2207.10866
Few-Shot Semantic SegmentationonPASCAL-5i (1-Shot)
FB-IoU· 2022-07-22
77.8
best: 86.2 (PGMA-Net (ResNet-101))
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation arXiv:2207.10866
Few-Shot Semantic SegmentationonPASCAL-5i (1-Shot)
Mean IoU· 2022-07-22
65.5
best: 83.2 (SegGPT (ViT))
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation arXiv:2207.10866
Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
FB-IoU· 2022-07-22
80.9
best: 86.9 (PGMA-Net (ResNet-101))
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation arXiv:2207.10866
Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
Mean IoU· 2022-07-22
70.1
best: 89.8 (SegGPT (ViT))
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation arXiv:2207.10866
Few-Shot Semantic SegmentationonCOCO-20i (5-shot)
Mean IoU· 2021-12-22
47.9
best: 67.9 (SegGPT (ViT))
Cost Aggregation Is All You Need for Few-Shot Segmentation arXiv:2112.11685
Few-Shot Semantic SegmentationonCOCO-20i (1-shot)
Mean IoU· 2021-12-22
41.3
best: 59.4 (PGMA-Net (ResNet-101))
Cost Aggregation Is All You Need for Few-Shot Segmentation arXiv:2112.11685