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seggradcam

SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

segmentation_uncertainty

semantic-cosegmentation

The codes for the ECCV16 paper: "Semantic Co-segmentation in Videos", Y.-H. Tsai*, G.Zhong* and M.-H. Yang.

semantic-segmentation

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

semantic-segmentation-1

Nvidia Semantic Segmentation monorepo

semanticsegmentationmodel

semanticsegpapercollection

semi-supervised_fcm_loss_for_segmentation

Supervised and unsupervised loss functions for image segmentation based on the classical FCM objective function. (TensorFlow and PyTorch)

semisup-semseg

semseg

Semantic Segmentation in Pytorch

sgdr

shapeprop

Learning Saliency Propagation for Semi-supervised Instance Segmentation

sizeloss_wss

Code of our MIDL 2018 paper and MedIA extension: https://arxiv.org/abs/1805.04628

slic

sparsecodingsuperresolution

spg

(ECCV2018) Self-produced Guidance for Weakly-supervised Object Localization

splatnet_pytorch

Unofficial partial implemention of SplatNet

spn

Soft Proposal Networks for Weakly Supervised Object Localization, in ICCV 2017

spn.pytorch

PyTorch implementation of "Soft Proposal Networks for Weakly Supervised Object Localization", ICCV 2017.

spol

Codes for CVPR2021 paper "Shallow Feature Matters for Weakly Supervised Object Localization"

spsr

Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020 & TPAMI 2021)

srcnn-pytorch

PyTorch implementation of Image Super-Resolution Using Deep Convolutional Networks (ECCV 2014)

srcnn-pytorch-1

Pytorch framework can easily implement srcnn algorithm with excellent performance

srdd

srsurvey

A Deep Journey into Super-resolution: A Survey, ACM Computing Surveys

ssnm-coseg

[AAAI20] Deep Object Co-segmentation via Spatial-Semantic Network Modulation(Oral paper)

stedactinfcn

This folder contains the necessary packages to run a STED actin experiement

structure_knowledge_distillation

The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.

structuredforests

A Python Implementation for Piotr's ICCV Paper "Structured Forests for Fast Edge Detection".