QCLNet (VGG-16)

Reported on 6 benchmarks across 3 tasks · 1 paper

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· 2023-05-12
60.6
best: 83.2 (SegGPT (ViT))
Quaternion-valued Correlation Learning for Few-Shot Semantic Segmentation arXiv:2305.07283
Few-Shot LearningonPASCAL-5i (5-Shot)
Mean IoU· 2023-05-12
64.2
best: 89.8 (SegGPT (ViT))
Quaternion-valued Correlation Learning for Few-Shot Semantic Segmentation arXiv:2305.07283
Meta-LearningonPASCAL-5i (1-Shot)
Mean IoU· 2023-05-12
60.6
best: 83.2 (SegGPT (ViT))
Quaternion-valued Correlation Learning for Few-Shot Semantic Segmentation arXiv:2305.07283
Meta-LearningonPASCAL-5i (5-Shot)
Mean IoU· 2023-05-12
64.2
best: 89.8 (SegGPT (ViT))
Quaternion-valued Correlation Learning for Few-Shot Semantic Segmentation arXiv:2305.07283

Computer Vision2 results

Few-Shot Semantic SegmentationonPASCAL-5i (1-Shot)
Mean IoU· 2023-05-12
60.6
best: 83.2 (SegGPT (ViT))
Quaternion-valued Correlation Learning for Few-Shot Semantic Segmentation arXiv:2305.07283
Few-Shot Semantic SegmentationonPASCAL-5i (5-Shot)
Mean IoU· 2023-05-12
64.2
best: 89.8 (SegGPT (ViT))
Quaternion-valued Correlation Learning for Few-Shot Semantic Segmentation arXiv:2305.07283