dengxunzhi Goto Github PK

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.

closerlookfewshot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

cnn-based-hyperspectral-image-classification

A TensorFlow implentation of fixed size kernel CNN

cnn-svm

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

cnnplanetaryscience

dasp

Depth-Adaptive Superpixels

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep_learning_object_detection

A paper list of object detection using deep learning.

deephyperx

Deep learning toolbox based on PyTorch for hyperspectral data classification.

deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

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[email protected] 版权所有，违权必究 Tan 2018.06

deformable-convnets

Deformable Convolutional Networks

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

dspkm

This is the page for the book Digital Signal Processing with Kernel Methods.

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

few-shot-baseline

few-shot-meta-baseline

Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021

hog-feature

HOG feature extractor with simple python implementation

hyperspectral-classification

Hyperspectral-Classification Pytorch

hyperspectral-image-denoising-benchmark

A list of hyperspectral image denoising resources collected by Yongsen Zhao and Junjun Jiang.

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.

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.

image_classification_with_5_methods

Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow