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seg_every_thing icon seg_every_thing

Code release for Hu et al., Learning to Segment Every Thing. in CVPR, 2018.

segan icon segan

SegAN: Semantic Segmentation with Adversarial Learning

segcaps icon segcaps

Official Implementation of the Paper "Capsules for Object Segmentation".

segcaps-1 icon segcaps-1

A Clone version from Original SegCaps source code with enhancements on MS COCO dataset.

segloss icon segloss

A collection of loss functions for medical image segmentation

segwithdistmap icon segwithdistmap

How distance transform maps can assist medical image segmentation?

semseg icon semseg

Semantic Segmentation in Pytorch

senet icon senet

Squeeze-and-Excitation Networks

setr icon setr

[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

sg-one icon sg-one

SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation

simclr icon simclr

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

simclr-1 icon simclr-1

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

sknet icon sknet

Code for our CVPR 2019 paper: Selective Kernel Networks; See zhihu:https://zhuanlan.zhihu.com/p/59690223

slsdeep icon slsdeep

SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks

sota-medseg icon sota-medseg

SOTA medical image segmentation methods based on various challenges

spp_net icon spp_net

SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

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