Pinned Repositories
asp
Adaptive Superpixels (DASP, SLIC, ...)
AutomaticWeightedLoss
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
Awesome-Vision-Attentions
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
Bag_of_Tricks_for_Image_Classification_with_Convolutional_Neural_Networks
experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc
BasicImageSegmentation
Some basic image segmentation algorithms, include mean-shift, graph-based, SLIC, SEEDS, GrabCut, OneCut, et al.
CAM
Class Activation Mapping
Change-Detection-Review
A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
Multi-Task-Learning-PyTorch
PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
Python-Image-feature-extraction
Python实现提取图像的纹理、颜色特征，包含快速灰度共现矩阵（GLCM）、LBP特征、颜色矩、颜色直方图。
dengxunzhi's Repositories
dengxunzhi/Multi-Task-Learning-PyTorch
PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
dengxunzhi/AutomaticWeightedLoss
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning
dengxunzhi/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
dengxunzhi/Awesome-Vision-Attentions
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
dengxunzhi/CAM
Class Activation Mapping
dengxunzhi/Change-Detection-Review
A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
dengxunzhi/CloserLookFewShot
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
dengxunzhi/cnn-svm
An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
dengxunzhi/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
dengxunzhi/deep_learning_object_detection
A paper list of object detection using deep learning.
dengxunzhi/DeepHyperX
Deep learning toolbox based on PyTorch for hyperspectral data classification.
dengxunzhi/DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
dengxunzhi/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
dengxunzhi/DenseNet
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
dengxunzhi/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
dengxunzhi/few-shot-baseline
dengxunzhi/few-shot-meta-baseline
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021
dengxunzhi/IEEE_GRSL_EndNet
Danfeng Hong, Lianru Gao, Renlong Hang, Bing Zhang, Jocelyn Chanussot. Deep Encoder-Decoder Networks for Classification of Hyperspectral and LiDAR Data, IEEE GRSL, 2020.
dengxunzhi/IEEE_TGRS_MDL-RS
Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang. More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification, IEEE TGRS, 2021, 59(5): 4340-4354.
dengxunzhi/LibFewShot
LibFewShot: A Comprehensive Library for Few-shot Learning.
dengxunzhi/LNSNet
Pytorch Implementation of LNSNet for Superpixel Segmentation
dengxunzhi/MFPNet
PyTorch implementation for "Remote Sensing Change Detection Based on Multidirectional Adaptive Feature Fusion and Perceptual Similarity"
dengxunzhi/mmdetection
OpenMMLab Detection Toolbox and Benchmark
dengxunzhi/mtl
Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
dengxunzhi/multi-task-learning-example-PyTorch
dengxunzhi/pytorch-doc-zh
Pytorch 中文文档
dengxunzhi/pytorch-grad-cam
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Examples for classification, object detection, segmentation, embedding networks and more. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
dengxunzhi/Transformer-in-Remote-Sensing
dengxunzhi/weakly_supervised
Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery
dengxunzhi/weight_fusion
My first sci-- adaptive weighting feature fusion