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pytorch-mfnet

pytorch-mobilenet-v3

MobileNetV3 in pytorch and ImageNet pretrained models

randwirenn

Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

readme

README文件语法解读，即Github Flavored Markdown语法介绍

real-time-semantic-segmentation

lightweight and efficient cnn for semantic segmentation

revtorch

Framework for creating (partially) reversible neural networks with PyTorch

rvos

RVOS: End-to-End Recurrent Network for Video Object Segmentation (CVPR 2019)

seenet

The Tensorflow implementation of SEENet (BMVC2019)

segmentation.x

Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation

segnet-tutorial

Files for a tutorial to train SegNet for road scenes using the CamVid dataset

semantic-segmentation

Improving Semantic Segmentation via Video Propagation and Label Relaxation

semantic-segmentation-1

List of useful codes and papers for weakly supervised Semantic/Instance/Panoptic/Few Shot Segmentation

senet

Squeeze-and-Excitation Networks

shelfnet

implementation of a CNN model for semantic segmentation

shelfnet-lw-cityscapes

ShelfNet-lightweight for paper [ShelfNet for fast semantic segmentation]

shufflenet-series

skin-lesion-segmentation-using-proposed-dsnet

In this repository, the source code and segmented mask from semantic segmentation network so-called Dermoscopic Skin Network (DSNet) of the skin lesion have been added.

sknet

sknet-1

try to implement the CVPR 2019 paper "Selective Kernel Networks" by PyTorch

sota-medseg

SOTA medical image segmentation methods based on various challenges

source-code-of-medical-image-fusion-in-nsct-domain

Source Code of Article "A Phase Congruency and Local Laplacian Energy Based Multi-Modality Medical Image Fusion Method in NSCT Domain"

squeeze_and_excitation

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

swiftnet

tencent2019_preliminary_rank1st

The code for 2019 Tencent College Algorithm Contest, and the online result ranks 1st in the preliminary.

textcaps

A novel data generation technique with Capsule Networks

tkcn

Tree-structured Kronecker Convolutional Network for Semantic Segmentation [arXiv preprint arXiv:1812.04945]　

torchstat

Model analyzer in PyTorch

tpu

Reference models and tools for Cloud TPUs.

ultra_high_resolution_segmentation

code used for CVPR2019 oral "Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images"

unet-lits-2d-pipeline