justin0111 Goto Github PK

3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

ah-net

The Pytorch implementation of the 3D Anisotropic Hybrid Network described in the paper "3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes"

awesome-self-supervised-papers

Paper bank for Self-Supervised Learning

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)

bioexp

Explainability of Brain Tumour Segmentation Models

covid19_imaging_ai_paper_list

COVID-19 imaging-based AI paper collection

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

denseaspp

DenseASPP for Semantic Segmentation in Street Scenes

densenet

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

detectron2

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

dfn-tensorflow

This repo is the tensorflow implementation of Discriminative Feature Network (DFN)

dfn_seg

Implementation of Paper Learning a Discriminative Feature Network for Semantic Segmentation (CVPR2018)(face++)

digits

Deep Learning GPU Training System

dupsampling

This repo is an unofficial pytorch implementation of CVPR2019 paper: Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation

efficientnet-pytorch

A PyTorch implementation of EfficientNet

emanet

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

fast-rcnn

Fast R-CNN

fastai

The fastai deep learning library, plus lessons and tutorials

faster_rcnn

Faster R-CNN

fastfcn

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

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

fcos

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

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gscnn

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

h-denseunet

hrnet-semantic-segmentation

High-resolution representation learning (HRNets) for Semantic Segmentation

imagecaptioning.pytorch

image captioning codebase in pytorch(finetunable cnn in branch "with_finetune", self-critical training is under my self-critical.pytorch repository.)

inf-net

code for "Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans" TMI2020.

inplace_abn

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

justin0111.github.io

blog