chaof96

Dara

Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning TPAMI 2023

FCT

Code for CVPR 2022 Oral paper: 'Few-Shot Object Detection with Fully Cross-Transformer'

people-gait

毫米波步态数据集

LCSA_C2SLR_SRM

Code for our works: LCSA, C2SLR, and SRM

mmfall

mmFall: Fall Detection using 4D MmWave Radar and Variational Recurrent Autoencoder

mixstyle-release

Domain Generalization with MixStyle (ICLR'21)

XDomainMix

Offical implementation of IJCAI 2024 paper "Cross-Domain Feature Augmentation for Domain Generalization"

EuroSAT

EuroSAT: Land Use and Land Cover Classification with Sentinel-2

TIMFusion

A Task-guided, Implicitly-searched and Meta- initialized Deep Model for Image Fusion TPAMI 24

PsCo

Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning (ICLR 2023)

AGPF-FSFG

[PR22, Highly Cited Paper] Learning Attention-Guided Pyramidal Features for Few-shot Fine-grained Recognition

SOCKET

Code for MERL's ECCV 2022 paper on Cross-Modal Knowledge Transfer Without Task-Relevant Source Data

CSEC

[CVPR 2024] Color Shift Estimation-and-Correction for Image Enhancement

Conv2Former

pytorch-meta-dataset

A non-official 100% PyTorch implementation of META-DATASET benchmark for few-shot classification

TIM

(NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297

IM-DCL

The code of paper "Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning"

Awesome-Domain-Generalization

Awesome things about domain generalization, including papers, code, etc.

Semi-Supervised-Learning-with-Pseudo-Negative-Labels

MsFEFNet-and-MT-TSNLNet

suave-daino

Code release for "Semi-supervised learning made simple with self-supervised clustering"

TimeBalance

Placeholder

mean-teacher

A state-of-the-art semi-supervised method for image recognition

SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

fft-conv-pytorch

Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.

DG_via_ER

Domain Generalization via Entropy Regularization, NeurIPS'20

CAMix

(TCSVT 2022) Context-Aware Mixup for Domain Adaptive Semantic Segmentation

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms

DAN

Code release of "Learning Transferable Features with Deep Adaptation Networks" (ICML 2015)

Semi-supervised-learning

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)