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Semi Supervised Learning for Few-Shot Audio Classification by Episodic Triple...
Few-shot learning aims to generalize unseen classes that appear during testing but are unavailable during training. The performance of prototypical networks in extreme few-shot... -
Visual Discrimination Puzzles
Visual discrimination puzzles dataset created for few-shot learning problems -
Colored-Kuzushiji
Colored-Kuzushiji is used for few-shot classification tasks. -
UT-Zappos50K
The UT-Zappos50K dataset is a fine-grained shoe catalog, characterized by its smaller scale and relatively stable and simple content. -
MiniImageNet, TieredImageNet, and CUB
MiniImageNet, TieredImageNet, and CUB are used for few-shot learning tasks. -
Memory-Augmented Relation Network for Few-Shot Learning
The proposed method Memory-Augmented Relation Network (MRN) for few-shot learning. -
PLOT-TAL - Prompt Learning with Optimal Transport for Few-Shot Temporal Actio...
Temporal Action Localization (TAL) in few-shot learning. Our work addresses the inherent limitations of conventional single-prompt learning methods that often lead to... -
Motorbikes
A benchmark dataset for few-shot image-to-image translation -
Carnivores
A benchmark dataset for few-shot image-to-image translation -
COCO-FUNIT
Few-shot unsupervised image-to-image translation with a content conditioned style encoder -
Mask-guided Vision Transformer for Few-Shot Learning
The proposed MG-ViT model is used for few-shot learning on the Agri-ImageNet and ACFR apple detection tasks. -
Video IPMT
Few-Shot Video Object Segmentation (FSVOS) aims to segment objects in a query video with the same category defined by a few annotated support images. -
AG News, SogouNews and DBpedia
The AG News, SogouNews and DBpedia datasets are used for text classification experiments. -
MNIST, KMNIST, FashionMNIST, STL-10 and CIFAR-10
The MNIST, KMNIST, FashionMNIST, STL-10 and CIFAR-10 datasets are used for few-shot learning experiments.