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Starred repositories
「Android学习+面试指南」一份涵盖大部分 Android 程序员所需要掌握的核心知识。准备 Android 面试，首选 AndroidGuide！公众号程序员徐公
计算机类常用电子书整理。包含Android、Java生态、Linux、安全、Go、PHP、Python、大数据、架构、前端、数据库、网络、运维和编程提升相关的书籍。
乐乐音乐主要是基于ijkplayer框架开发的Android音乐播放器，它支持多种音频格式(mp3音频,ape音频,flac音频,wav音频等)、lrc歌词和动感歌词(ksc歌词,krc歌词,hrc歌词、网易云API歌词等)、翻译和音译歌词和桌面歌词及制作动感歌词、翻译歌词和音译歌词，以及MV和字幕功能。界面高仿酷狗。
Simultaneous audio and video recording sample using MediaCodec/MediaMuxer
Official PyTorch Repository of "Task Discrepancy Maximization for Fine-grained Few-Shot Classification" (TDM, CVPR 2022 Oral Paper)
Comparison of open-set recognition using GAN and other methods.
The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
Pytorch implementation of ViT on CIFAR-10.
A DEMO for "S3Net: Spectral-Spatial Siamese Network for Few-Shot Hyperspectral Image Classification" (Xue et al., TGRS, 2022)
This is the reserch code of the IEEE TIP paper “Rotation-Invariant Attention Network for Hyperspectral Image Classification”.
Implementation of Hang et al. 2020 "Hyperspectral Image Classification with Attention Aided CNNs" for tree species prediction
A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification
Hyperspectral Image Classification Using Group-Aware Hierarchical Transformer
Spectral Partitioning Residual Network with Spatial Attention Mechanism for Hyperspectral Image Classification
[GRSL 2022] Official implementation of "Two-Branch Pure Transformer for Hyperspectral Image Classification".
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.
A simple training/evaluation code of open set recognition using OpenMax (https://arxiv.org/abs/1511.06233)
PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? https://arxiv.org/abs/1908.09625
Official Implementation of "MORGAN: Meta-Learning-based Few-Shot Open-Set Recognition via Generative Adversarial Network" (WACV23)
Adversarial Reciprocal Points Learning for MRI Open Set Recognition
Open-set Recognition with Adversarial Autoencoders
Code for CVPR2020 paper: Conditional Gaussian Distribution Learning for Open Set Recognition
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
Deep Leaning (DL) for remote sensing image (RSI) classification.
Paper CROSR official code and my modifications
Code Repository for "Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition"