greysakura

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

PaddleSeg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

HRNet-Semantic-Segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Semi-supervised-learning

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

yolov7-pytorch

这是一个yolov7的库，可以用于训练自己的数据集。

Lite-HRNet

This is an official pytorch implementation of Lite-HRNet: A Lightweight High-Resolution Network.

ContrastiveSeg

ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation

pspnet-pytorch

PyTorch implementation of PSPNet segmentation network

FasterSeg

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

DecoupleSegNets

[ECCV-2020]: Improving Semantic Segmentation via Decoupled Body and Edge Supervision

PaddleRS

Awesome Remote Sensing Toolkit based on PaddlePaddle.

pspnet-pytorch

这是一个pspnet-pytorch的源码，可以用于训练自己的模型。

fastseg

📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance

ViTAE-Transformer

The official repo for [NeurIPS'21] "ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias" and [IJCV'22] "ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond"

CBIM-Medical-Image-Segmentation

A PyTorch framework for medical image segmentation

HRNet-Human-Pose-Estimation

This repo is copied from https://github.com/leoxiaobin/deep-high-resolution-net.pytorch

aitlas

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

UTNet

Official implementation of UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation

PaddleRS

Awesome Remote Sensing Toolkit based on PaddlePaddle.

DA-TransUnet

DA-TransUNet: Combining Dual Attention of Position and Channel with Transformer U-net for Medical Image Segmentation

hrnet-pytorch

这是一个hrnet-pytorch的库，可用于训练自己的语义分割数据集

DKS

Deeply-supervised Knowledge Synergy (CVPR'2019)

C2FNet

Context-aware Cross-level Fusion Network for Camouflaged Object Detection

AFMA

universal-medical-image-segmentation

HoVer-UNet

coconut_in_Acteon_Group

Dataset and codes for the paper "Surveying coconut trees using high-resolution satellite imagery in remote atolls of the Pacific Ocean“ (RSE23)

uhrnet-pytorch