eehjc

eehjc's Stars

• sbharadwajj/awesome-zero-shot-learning

  A curated list of papers, code and resources pertaining to zero shot learning

  915164

• yaohungt/Adaptive-Regularization-Neural-Network

  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN

  Language:Python6714

• hoya012/deep_learning_object_detection

  A paper list of object detection using deep learning.

  Language:Python11.3k2.8k

• lightas/Occluded-DukeMTMC-Dataset

  This is the Occluded-DukeMTMC dataset from the ICCV2019 paper "Pose-Guided Feature Alignment for Occluded Person Re-Identification"

  Language:Python8015

• Tencent/ObjectDetection-OneStageDet

  单阶段通用目标检测器

  Language:Python2k500

• d2l-ai/d2l-zh

  《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

  Language:Python65.2k11.2k

• d2l-ai/berkeley-stat-157

  Homepage for STAT 157 at UC Berkeley

  Language:Jupyter Notebook3.7k1.5k

• abhineet123/Deep-Learning-for-Tracking-and-Detection

  Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

  Language:HTML2.4k653

• tiancity-NJU/da-faster-rcnn-PyTorch

  An unofficial implementation of 'Domain Adaptive Faster R-CNN for Object Detection in the Wild ’

  Language:Python13637

• VisionLearningGroup/DA_Detection

  Implementation of "Strong-Weak Distribution Alignment for Adaptive Object Detection"

  Language:Python35379

• VisionLearningGroup/visda-2019

  Language:CSS1

• jwyang/faster-rcnn.pytorch

  A faster pytorch implementation of faster r-cnn

  Language:Python7.7k2.3k

• XingangPan/IBN-Net

  Instance-Batch Normalization Networks (ECCV2018)

  Language:Python801112

• zhenxuan00/graphical-gan

  source code of the paper Graphical Generative Adversarial Networks

  Language:Python7115

• benedekrozemberczki/awesome-graph-classification

  A collection of important graph embedding, classification and representation learning papers with implementations.

  Language:Python4.8k741

• chongruo/iccv2019

  ICCV 2019 papers/new汇总帖，极市团队整理

  111

• ZeroWangZY/federated-learning

  Everything about Federated Learning (papers, tutorials, etc.) -- 联邦学习

  615116

• xiaomengyc/ACoL

  (CVPR2018) Adversarial Complementary Learning for Weakly Supervised Object Localization

  Language:Python16430

• layumi/SOTA-semi

  3

• google-research/arxiv-latex-cleaner

  arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

  Language:Python5.5k336

• google-research/uda

  Unsupervised Data Augmentation (UDA)

  Language:Python2.2k313

• olivesgatech/TA3N

  [ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

  Language:Python452

• VisionLearningGroup/visda-2019-public

  Language:Python588

• kgl-prml/Contrastive-Adaptation-Network-for-Unsupervised-Domain-Adaptation

  pytorch implementation for Contrastive Adaptation Network

  Language:Python33159

• hemanthdv/da-hash

  MatConvNet: CNNs for MATLAB

  Language:Cuda5111

• khalooei/ALOCC-CVPR2018

  Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)

  Language:Python22377

• firojalam/domain-adaptation

  Domain Adaptation with Adversarial Training and Graph Embeddings

  Language:Python153

• GRAAL-Research/domain_adversarial_neural_network

  Domain Adaptation Representation Learning Algorithm (as published in JMLR 2016)

  Language:Python13940

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python60.8k25.5k

• yzhao062/anomaly-detection-resources

  Anomaly detection related books, papers, videos, and toolboxes

  Language:Python8.5k1.8k