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resunet

Tensorflow implementation of Residual U-Net

retina_swin-resnet

retinanet

Keras implementation of RetinaNet for object detection and visual relationship identification

revswin

Reversible Swin Transformer

rewriting

Rewriting a Deep Generative Model, ECCV 2020 (oral). Interactive tool to directly edit the rules of a GAN to synthesize scenes with objects added, removed, or altered. Change StyleGANv2 to make extravagant eyebrows, or horses wearing hats.

robust_frcnn

Domain Adaptive Robust Faster R-CNN Implementation in Keras/TF

rosdistro

This repo maintains a lists of repositories for each ROS distribution

rstcanet

Residual Swin Transformer Channel Attention Network for Image Demosaicing

sa-net

Code for our ICASSP 2021 paper: SA-Net: Shuffle Attention for Deep Convolutional Neural Networks

safpn

This paper proposes a ship detection and segmentation method based on an improved Mask R-CNN model. By constructing a bottom-up feature enhancement path in MASK R-CNN, the transfer path between the strong localization features in the shallow layer and the top-level network is shortened to improve small target detection and segmentation. Attention m

sahi

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

sapnetv2

Code release for "The study of unsupervised domain adaptation for object detection using spatial attention pyramid networks"

sdaut

Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI

se_cbam-resnet-twostream

resnet+twostream+cbam/se

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

segmentation_pytorch

semantic segmentation pytorch 语义分割

sf-mask-rcnn

Synthetic RGB-D Fusion (SF) Mask R-CNN for Unseen Object Instance Segmentation

simam

The official pytorch implemention of our ICML paper "SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks".

simpledet

A Simple and Versatile Framework for Object Detection and Instance Recognition

slowfast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

slrdet

This project is base on mmdetection to reimplement RRPN and use the model Faster R-CNN OBB.Supporting Remote Sensing datasets including DOTA datasets

small_object_augmentation

Implementation of augmentation for small object detection（填鸭） https://arxiv.org/pdf/1902.07296.pdf

soft-nms

Python and Pytorch two implements of Soft NMS algorithm

soft-nms-1

soft-nms-pytorch

A pytorch implement of Soft NMS algorithm.

softer-nms

Softer-NMS: Rethinking Bounding Box Regression for Accurate Object Detection

sparse-swin-transformer-with-contour-guidance-mmdet

A Local Sparse Information Aggregation Transformer with Explicit Contour Guidance for SAR Ship Detection

sparser-cnn

[CVPR2021] End-to-End Object Detection with Learnable Proposal

sparsercnn

Sparse Mask R-CNN implementation using PyTorch