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detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

diagnosis_covid19

OpenCovidDetector is an opensource COVID-19 diagnosis system implementing on pytorch, which is also as presented in our paper: Development and Evaluation of an AI System for COVID-19 Diagnosis (https://www.medrxiv.org/content/10.1101/2020.03.20.20039834v2)

dltk

Deep Learning Toolkit for Medical Image Analysis

dncnn

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

domain_specific_cl

Code for NeurIPS 2020 article "Contrastive learning of global and local features for medical image segmentation with limited annotations"

drfns

This repository contains the code necessary in order to reproduce the work contained in the submitted paper: "".

drusensegmentation-modifiedchen

dss-pytorch

:star: PyTorch implement of Deeply Supervised Salient Object Detection with Short Connection

efficient-gan-anomaly-detection

emanet

The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)

end2end-all-conv

End-to-end training for breast cancer diagnosis using deep all convolutional networks

f-anogan

Code for reproducing f-AnoGAN training and anomaly scoring

fast-neural-style

Feedforward style transfer

fast-style-transfer

TensorFlow CNN for fast style transfer! ⚡🖥🎨🖼

fast_dense_feature_extraction

A Pytorch and TF implementation of the paper "Fast Dense Feature Extraction with CNNs with Pooling Layers"

faster-rcnn_tf

Faster-RCNN in Tensorflow

fastfcn

FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.

fastmaskrcnn

Mask RCNN in TensorFlow

fbrain

fc-densenet

Fully Convolutional DenseNets for semantic segmentation.

fcis

Fully Convolutional Instance-aware Semantic Segmentation

fcos

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

few-shot

Repository for few-shot learning machine learning projects

few-shot-segmentation

PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans

few-shot-semantic-segmentation-papers

Few Shot Semantic Segmentation Papers

fewshot_gan-unet3d

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

fewx

FewX is an open-source toolbox on top of Detectron2 for data-limited instance-level recognition tasks.

fishnet

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

fixed-point-gan

Official implementation of Fixed-Point GAN - ICCV 2019

flownet2

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks