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adversarial_active_learning

Adversarial Active Learning for Deep Networks

advsemiseg

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

anchor-optimization

Anchor optimization for RetinaNet.

anlm_filter_polsar

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

attention-graph-convolution-network-for-image-segmentation-in-big-sar-imagery-data

the code of paper "Attention Graph Convolution Network for Image Segmentation in Big SAR Imagery Data"

auto-reid-fast

A pytorch implementation of using DARTS to search better structure for Re-ID

automatic-target-classification-in-sar-images-using-convolutional-neural-networks

SAR -> Synthetic Aperture Radar. This project is based on predicting the accuracy of the testing data set over the training data set using the MSTAR(Moving and Stationary Target Acquisition and Recognition) database and plotting the graph of the Results.csv file.

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

bbox_gradcam

Boundary box creation using a GradCAM heat-map from a pre-trained image classification model.

bnt

Bayes Net Toolbox for Matlab

boundary_loss_for_remote_sensing

Pytorch re-implementation of boundary loss, proposed in "Boundary Loss for Remote Sensing Imagery Semantic Segmentation"

boundaryawarenetwork

A tensorflow implementation of Boundary-Aware Network for Fast and High-Accuracy Portrait Segmentation

canny-edge-detector

Canny edge detector written in CUDA C++.

chinagdp

Projected GDP of China at pixel levels between 2014-2020

cnn-graph-classification

A convolutional neural network for graph classification in PyTorch

cnn-kmeans

cnn-remote-sensing

A tool for CNN multiclass classification based on hyperspectral aerial data.

cnnforcfd

This folder contains a sample code for the use of convolutional neural network for fluid force prediction of bluff body flows.

complexcnn

pytorch implementation of complex convolutional neural network

complexvaluedcnn

Complex Valued CNN

creat_frcnn_dataset

crfasrnn_pytorch

CRF-RNN PyTorch version http://crfasrnn.torr.vision

cv-cnn

cvpr2020

cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理

darknet

Convolutional Neural Networks

datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

deep-active-learning

Deep Active Learning

deep-clustering

A Convolutional Neural Network based model for Unsupervised Learning

deep-compression-pytorch

PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally