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Few-shot Font Generation with Dual Memory
A dataset for few-shot font generation with dual memory. -
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 -
Meta-Meta Classification for One-Shot Learning
A new approach to meta-learning, called meta-meta classification, to learning in small-data settings. -
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. -
FewSol dataset
The FewSol dataset is used for training the class-adaptive object detector. It contains 666 objects with a large number of occurrences. -
Putting nerf on a diet: Semantically consistent few-shot view synthesis
A dataset for training and testing semantically consistent few-shot view synthesis models -
ImageCLEF-DA
The ImageCLEF-DA dataset is a benchmark dataset for ImageCLEF 2014 domain adaptation challenges, which contains 12 categories shared by three domains: Caltech-256 (C), ImageNet... -
Meta-dataset
A dataset of datasets for learning to learn from few examples. -
MiniImageNet, Caltech-UCSD Birds 200-2011, TieredImageNet, OfficeHome
MiniImageNet, Caltech-UCSD Birds 200-2011, TieredImageNet, OfficeHome -
Few-shot semantic segmentation via prototype augmentation with image-level an...
Few-shot semantic segmentation via prototype augmentation with image-level annotations -
FlipNeRF dataset
This dataset is used for few-shot novel view synthesis. -
MiniImagenet
The MiniImagenet dataset is a benchmark for few-shot learning, consisting of 60,000 images from 21 classes, each with 300 images.