kaiwang960112

SpeeD

SpeeD: A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training

kaiwang960112.github.io

MLLMs-Augmented

The official implementation of 《MLLMs-Augmented Visual-Language Representation Learning》

InfoBatch

Lossless Training Speed Up by Unbiased Dynamic Data Pruning

Beyond-INet

Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"

CAFE

This is a method of dataset condensation, and it has been accepted by CVPR-2022.

DiffAug

SSD

Summarizing Stream Data for Memory-Restricted Online Continual Learning

ColossalAI

Colossal-AI: A Unified Deep Learning System for Big Model Era

DiM

Distilling dataset into generative models

DREAM

Efficient Dataset Distillation by Representative Matching

DatasetFactorization

PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.

G.pt

Official PyTorch Implementation of "Learning to Learn with Generative Models of Neural Network Checkpoints"

mmdetection

OpenMMLab Detection Toolbox and Benchmark

FaceMAE

A new paradigm for privacy-presevering face recognition.

BETA

Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors

IT-GAN

LC-Booster

Self-Cure-Network

This is a novel and easy method for annotation uncertainties.

2022CVPR-MMMMTBVS

This is the code for CVPR2022 paper "Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation"

ContrastiveCrop

CS5242_2021

Neural Networks and Deep Learning, NUS CS5242, 2021

TransReID

TransReID: Transformer-based Object Re-Identification

kpzhang93.github.io

aws-deepracer-workshops

DeepRacer workshop content

whwu95.github.io

AFM

This is novel noisy-robust Attentive Feature MixUp method.

Challenge-condition-FER-dataset

This is our collected datasets for challenge condition facial expression recognition

ENC2020_AU_Detection

This is SIAT-NTU code of ENC2020 AU Detection.

RankSRGAN

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation