PL's repositories
alphafold2
To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released
CVPR2021_VSPW_Implement
A pytorch implementation of the CVPR2021 paper "VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild"
DataPoisoning_FL
Code for Data Poisoning Attacks Against Federated Learning Systems
DatasetFactorization
PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.
DenseCLIP
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting
DiGress
code for the paper "DiGress: Discrete Denoising diffusion for graph generation"
DSP
Official implementation of "DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation"
FedGen
Code and data accompanying the FedGen paper
gansformer
Generative Adversarial Transformers
GCond
[ICLR'22] [KDD'22] Implementation of "Graph Condensation for Graph Neural Networks"
metapoison
Craft poisoned data using MetaPoison
MOON
Model-Contrastive Federated Learning (CVPR 2021)
MuHDi
Official PyTorch implementation of "Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation"
Multi-Modal-CelebA-HQ-Dataset
[CVPR 2021] A large-scale face image dataset that allows text-to-image-generation, text-guided image manipulation, sketch-to-image generation, GANs for face generation and editing, image caption, and VQA.
multiple-attention
The code of multi-attention deepfake detection
Pixel-Level-Cycle-Association
Pytorch Implementation for NeurIPS (oral) paper: Pixel Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation
ROS
Rotation-based Open Set
StyleCLIP
Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)
Swin-Transformer-Semantic-Segmentation
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
track2_aicity_2021
This repo is developed for Strong Baseline For Vehicle Re-Identification in Track 2 Ai-City-2021 Challenges
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
Unsupervised-Domain-Adaptation-with-Differential-Treatment
[CVPR 2020] Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation