TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK
Few-Shot Image Classification	CIFAR-FS 5-way (1-shot)	ACC + Amphibian	Accuracy	73.1	# 30
Few-Shot Image Classification	CIFAR-FS 5-way (5-shot)	ACC + Amphibian	Accuracy	89.3	# 13
Few-Shot Image Classification	FC100 5-way (1-shot)	ACC + Amphibian	Accuracy	41.6	# 18
Few-Shot Image Classification	FC100 5-way (5-shot)	ACC + Amphibian	Accuracy	66.9	# 4
Few-Shot Image Classification	Mini-Imagenet 5-way (1-shot)	ACC + Amphibian	Accuracy	62.21	# 62
Few-Shot Image Classification	Mini-Imagenet 5-way (5-shot)	ACC + Amphibian	Accuracy	80.75	# 44
Few-Shot Image Classification	Tiered ImageNet 5-way (1-shot)	ACC + Amphibian	Accuracy	68.77	# 36
Few-Shot Image Classification	Tiered ImageNet 5-way (5-shot)	ACC + Amphibian	Accuracy	86.75	# 22

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Generalized Adaptation for Few-Shot Learning

25 Nov 2019 · Liang Song, Jinlu Liu, Yongqiang Qin ·

Many Few-Shot Learning research works have two stages: pre-training base model and adapting to novel model. In this paper, we propose to use closed-form base learner, which constrains the adapting stage with pre-trained base model to get better generalized novel model. Following theoretical analysis proves its rationality as well as indication of how to train a well-generalized base model. We then conduct experiments on four benchmarks and achieve state-of-the-art performance in all cases. Notably, we achieve the accuracy of 87.75% on 5-shot miniImageNet which approximately outperforms existing methods by 10%.

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Few-Shot Image Classification

Few-Shot Learning

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FC100 miniImageNet

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Ranked #4 on Few-Shot Image Classification on FC100 5-way (5-shot)

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Task	Dataset	Model	Metric Name	Metric Value	Global Rank	Benchmark
Few-Shot Image Classification	CIFAR-FS 5-way (1-shot)	ACC + Amphibian	Accuracy	73.1	# 30	Compare
Few-Shot Image Classification	CIFAR-FS 5-way (5-shot)	ACC + Amphibian	Accuracy	89.3	# 13	Compare
Few-Shot Image Classification	FC100 5-way (1-shot)	ACC + Amphibian	Accuracy	41.6	# 18	Compare
Few-Shot Image Classification	FC100 5-way (5-shot)	ACC + Amphibian	Accuracy	66.9	# 4	Compare
Few-Shot Image Classification	Mini-Imagenet 5-way (1-shot)	ACC + Amphibian	Accuracy	62.21	# 62	Compare
Few-Shot Image Classification	Mini-Imagenet 5-way (5-shot)	ACC + Amphibian	Accuracy	80.75	# 44	Compare
Few-Shot Image Classification	Tiered ImageNet 5-way (1-shot)	ACC + Amphibian	Accuracy	68.77	# 36	Compare
Few-Shot Image Classification	Tiered ImageNet 5-way (5-shot)	ACC + Amphibian	Accuracy	86.75	# 22	Compare

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