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residualattentionnetwork-pytorch

a pytorch code about Residual Attention Network. This code is based on two projects from

rfsr

Random Forest Super-Resolution (RFSR)

rkd

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

rloss

Regularized Losses (rloss) for Weakly-supervised CNN Segmentation

rotated_iou

Differentiable IoU of rotated bounding boxes using Pytorch

rotationdetection

This is a tensorflow-based rotation detection benchmark, also called AlphaRotate.

rsis

Recurrent Neural Networks for Semantic Instance Segmentation

rvos

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

s3n

saliencysanity

sanity_checks_saliency

scm

scops

SCOPS: Self-Supervised Co-Part Segmentation (CVPR'19)

score-cam

[CVPRW 2020] Official implementation of Score-CAM in Pytorch

score_sde

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

scorenet

Official implementation of "ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification".

scribble2label

Official PyTorch implementation of Scribble2Label (MICCAI 2020)

scribbleda

seam

Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation, CVPR 2020 (Oral)

sec

Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation

sec-mxnet

MXNet implementation of SEC

sec.pytorch

PyTorch implementation of "Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation."

sec_pytorch

PyTorch implementation of "Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation", ECCV2016

seggradcam

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

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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