Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features

Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020

Collection for Few-shot Learning

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

A pytorch implementation of "Domain-Adaptive Few-Shot Learning"

The code of "Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering", ECML-PKDD 2020.

Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021

"Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning" by Mamshad Nayeem Rizve, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah (CVPR 2021)

Extended code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks" with CIFAR-fs classification

Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)