txw1997's starred repositories
bank_interview
:bank: 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）
Unsupervised-Classification
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
CloserLookFewShot
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
awesome-papers-fewshot
Collection for Few-shot Learning
barlowtwins
PyTorch implementation of Barlow Twins.
Awesome-Self-Supervised-Papers
Paper bank for Self-Supervised Learning
manifold_mixup
Code for reproducing Manifold Mixup results (ICML 2019)
One-Shot-Object-Detection
Implementation of One-Shot Object Detection with Co-Attention and Co-Excitation in Pytorch
CrossDomainFewShot
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)
Curriculum-Labeling
[AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
Context-Transformer
Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020
FewShotContinualLearning
The original code for the paper "Benchmarks for Continual Few-Shot Learning".
fewshotDatasetDesign
The paper studies the problem of learning to recognize a new class of objects from a very small number of labeled images. This is called few-shot learning. Previous work in the literature focused on designing new algorithms that allow to learn to generalize to new unseen classes.In this work, we consider the impact of the dataset that we train on, and experiment with some dataset manipulations to see which trade-offs are important in the design of a dataset aimed at few-shot learning.
STANet-PyTorch
A Dual Attention Network with Semantic Embedding for Few-shot Learning(AAAI 2019)