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Models/CANet (ResNet-50)

CANet (ResNet-50)

Reported on 6 benchmarks across 3 tasks · 1 paper · 6 SOTA

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

Methodology4 results

Few-Shot LearningonPASCAL-5i (1-Shot)
Mean IoU· 2019-03-06
55.4
best: 83.2 (SegGPT (ViT))
SOTA
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning arXiv:1903.02351
Few-Shot LearningonPASCAL-5i (5-Shot)
Mean IoU· 2019-03-06
57.1
best: 89.8 (SegGPT (ViT))
SOTA
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning arXiv:1903.02351
Meta-LearningonPASCAL-5i (1-Shot)
Mean IoU· 2019-03-06
55.4
best: 83.2 (SegGPT (ViT))
SOTA
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning arXiv:1903.02351
Meta-LearningonPASCAL-5i (5-Shot)
Mean IoU· 2019-03-06
57.1
best: 89.8 (SegGPT (ViT))
SOTA
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning arXiv:1903.02351

Computer Vision2 results

Few-Shot Semantic SegmentationonPASCAL-5i (1-Shot)
Mean IoU· 2019-03-06
55.4
best: 83.2 (SegGPT (ViT))
SOTA
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning arXiv:1903.02351
Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
Mean IoU· 2019-03-06
57.1
best: 89.8 (SegGPT (ViT))
SOTA
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning arXiv:1903.02351