Pinned Repositories
awesome-Face_Recognition
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
Awesome-pytorch-list-CNVersion
Awesome-pytorch-list 翻译工作进行中......
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
Awesome-Self-supervised-Learning-papers
Awesome Self-supervised papers in CV, NLP, Graph, Recommendation, ML and so on.
bank_interview
:bank: 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）
LCEM_HSI
This repository is the implementation of our paper: Local Correntropy Matrix Representation for Hyperspectral Image Classification, which has been published on IEEE TGRS.
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
TCL
Twin Contrastive Learning with Noisy Labels (CVPR 2023)
TCRL_HSI_NoisyLabels
Triple Contrastive Representation Learning for Hyperspectral Image Classification with Noisy Labels, IEEE TGRS, 2023.
Zhangxy1999's Repositories
Zhangxy1999/TCRL_HSI_NoisyLabels
Triple Contrastive Representation Learning for Hyperspectral Image Classification with Noisy Labels, IEEE TGRS, 2023.
Zhangxy1999/LCEM_HSI
This repository is the implementation of our paper: Local Correntropy Matrix Representation for Hyperspectral Image Classification, which has been published on IEEE TGRS.
Zhangxy1999/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Zhangxy1999/TCL
Twin Contrastive Learning with Noisy Labels (CVPR 2023)
Zhangxy1999/awesome-Face_Recognition
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
Zhangxy1999/Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
Zhangxy1999/Co-training-based_noisy-label-learning
A unified framework for co-training-based noisy label learning methods.
Zhangxy1999/CAE
This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"
Zhangxy1999/cav-mae
Code and Pretrained Models for ICLR 2023 Paper "Contrastive Audio-Visual Masked Autoencoder".
Zhangxy1999/Codes_SpectralFormer
Zhangxy1999/CVPR2022-Paper-Code-Interpretation
cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理
Zhangxy1999/CVPR2022-Papers-with-Code
CVPR 2022 论文和开源项目合集
Zhangxy1999/DCFSL-2021
Deep Cross-domain Few-shot Learning for Hyperspectral Image Classification
Zhangxy1999/Face-Hallucination-Benchmark
A collection of state-of-the-art face super-resolution/hallucination methods
Zhangxy1999/Hyperspectral-Image-classification
HResNet with Attention for HSI classification
Zhangxy1999/Hyperspectral-Image-Classification-Models
收录及复现的高光谱遥感图像分类模型
Zhangxy1999/Hyperspectral-Vision-Transformer
A PyTorch implementation of CNN+Vision Transformer for hyperspectral image classification
Zhangxy1999/IEEE_TGRS_LDGnet
Language-aware Domain Generalization Network for Cross-Scene Hyperspectral Image Classification, IEEE TGRS, 2023.
Zhangxy1999/ImbalancedLearning
Code for the paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?" (NeurIPS 2022).
Zhangxy1999/ISPRS_S2FL
Danfeng Hong, JIngliang Hu, Jing Yao, Jocelyn Chanussot, Xiao Xiang Zhu. Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model, ISPRS JP&RS, 2021.
Zhangxy1999/MCNN-based_HSI_Classification
MCNN-CP：Hyperspectral Image Classification Using Mixed Convolutions and Covariance Pooling (TGARS 2021)； Oct-MCNN-HS：3D Octave and 2D Vanilla Mixed Convolutional Neural Network for Hyperspectral Image Classification With Limited Samples (Submitted)
Zhangxy1999/MorphConvHyperNet
Keras implementation of Morphological Convolutional Neural Networks for Hyperspectral Image Classification
Zhangxy1999/official-CMID
The official implementation of paper "Unified Self-Supervised Learning Framework for Remote Sensing Images".
Zhangxy1999/Paper-Picture-Writing-Code
Paper Picture Writing Code
Zhangxy1999/RSSAN-Hyperspectral-Image
Residual Spectral–Spatial Attention Network for Hyperspectral Image Classification
Zhangxy1999/SPaCR_demo
Spatial Peak-Aware Collaborative Representation for Hyperspectral Imagery Classification (IEEE GRSL 2021)
Zhangxy1999/SPN
Zhangxy1999/SSDGL
SSDGL: A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification (TCYB2021) https://ieeexplore.ieee.org/document/9440852
Zhangxy1999/torch-cam
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
Zhangxy1999/ViTAE-Transformer-Remote-Sensing
The official repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining"