Faster RCNN with PyTorch

Dataset for drone pilot identification

西北工业大学硕博学位论文模版 | Yet Another Thesis Template for Northwestern Polytechnical University

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.

Domain Generalization via Model-Agnostic Learning of Semantic Features

This is the official implementation of Self-Challenging Improves Cross-Domain Generalization, ECCV2020

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

DomainBed is a suite to test domain generalization algorithms

Domain Generalization with MixStyle (ICLR'21)

Transfer Learning Library

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

Official implementation of PCS in essay "Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation"

CrossNorm and SelfNorm for Generalization under Distribution Shifts, ICCV 2021

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

[CVPR 2022] PyTorch implementation of Hierarchical Contrastive Selective Coding (HCSC) (https://arxiv.org/abs/2202.00455)

[CVPR 2021 Oral] Code release for "Transferable Semantic Augmentation for Domain Adaptation"

code released for our CVPR 2021 paper "Domain Adaptation with Auxiliary Target Domain-Oriented Classifier"

PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)

🔥🔥「InterviewGuide」是阿秀从校园->职场多年计算机自学过程的记录以及学弟学妹们计算机校招&秋招经验总结文章的汇总，包括但不限于C/C++ 、Golang、JavaScript、Vue、操作系统、数据结构、计算机网络、MySQL、Redis等学习总结，坚持学习，持续成长！

Source code for GraphPOPE (Graph Position-aware Preprocessed Embeddings), developed in cooperation with the University of Amsterdam and Socialdatabase Research.

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Image augmentation library in Python for machine learning.

This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaof…

ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

西北工业大学硕士/博士学位论文 LaTeX 模板

Zeyuan Chen, Yangchao Wang, Yang Yang and Dong Liu. "PSD: Principled Synthetic-to-Real Dehazing Guided by Physical Priors". IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.