jo-wang Goto Github PK

3d_corruptions_ad

Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving, CVPR 2023

a-bit-more-bayesian

Source code of a ICML2021 paper, A Bit More Bayesian: Domain-Invariant Learning with Uncertainty

awesome-dataset-distillation

Awesome Dataset Distillation Papers

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

awesome-imbalanced-learning

Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库

awesome-public-datasets

A topic-centric list of HQ open datasets.

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

beta-tcvae

code for "Isolating Sources of Disentanglement in Variational Autoencoders".

cal-sfda

The official repo of the paper "Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error", accepted as oral paper in ACM Multimedia 2023.

calibration-domain-drift

convcrf

This repository contains the reference implementation for our proposed Convolutional CRFs.

crfasrnn_pytorch

CRF-RNN PyTorch version http://crfasrnn.torr.vision

crst

Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)

cutmix-pytorch

Official Pytorch implementation of CutMix regularizer

da-sac

Self-supervised Augmentation Consistency for Adapting Semantic Segmentation (CVPR 2021)

daformer

[CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

daily-paper-reading

Daily paper reading records

data

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

disentangle

Experiments for understanding disentanglement in VAE latent representations

domainadaptation

Repository for the article "Unsupervised domain adaptation for medical imaging segmentation with self-ensembling".

dpo

Code for paper "DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object Detection"

fda

Fourier Domain Adaptation for Semantic Segmentation

fdal

fedml

A Research-oriented Federated Learning Library. Supporting distributed computing, mobile/IoT on-device training, and standalone simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. Join our Slack Community:(https://join.slack.com/t/fedml/shared_invite/zt-havwx1ee-a1xfOUrATNfc9DFqU~r34w)

gscnn

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

intrada

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)

ldbe

"Domain Adaptive Semantic Segmentation without Source Data" (ACM MM 2021)

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接