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Models/MSENet

MSENet

Reported on 11 benchmarks across 5 tasks · 1 paper · 3 SOTA

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

Computer Vision9 results

Cross-Domain Few-ShotonCUB
5 shot· 2024-09-12
71.59
SOTA
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms arXiv:2409.07989
Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2024-09-12
84.42
best: 98.72 (SgVA-CLIP)
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms arXiv:2409.07989
Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2024-09-12
66.57
best: 97.95 (SgVA-CLIP)
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms arXiv:2409.07989
Image ClassificationonFC100 5-way (5-shot)
Accuracy· 2024-09-12
66.27
best: 70.6 (BAVARDAGE)
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms arXiv:2409.07989
Image ClassificationonFC100 5-way (1-shot)
Accuracy· 2024-09-12
44.78
best: 57.27 (BAVARDAGE)
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms arXiv:2409.07989
Few-Shot Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2024-09-12
84.42
best: 98.72 (SgVA-CLIP)
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms arXiv:2409.07989
Few-Shot Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2024-09-12
66.57
best: 97.95 (SgVA-CLIP)
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms arXiv:2409.07989
Few-Shot Image ClassificationonFC100 5-way (5-shot)
Accuracy· 2024-09-12
66.27
best: 70.6 (BAVARDAGE)
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms arXiv:2409.07989
Few-Shot Image ClassificationonFC100 5-way (1-shot)
Accuracy· 2024-09-12
44.78
best: 57.27 (BAVARDAGE)
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms arXiv:2409.07989

Methodology2 results

Few-Shot LearningonCUB
5 shot· 2024-09-12
71.59
SOTA
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms arXiv:2409.07989
Meta-LearningonCUB
5 shot· 2024-09-12
71.59
SOTA
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms arXiv:2409.07989