Repository of Vision Transformer with Deformable Attention (CVPR2022) and DAT++: Spatially Dynamic Vision Transformerwith Deformable Attention

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

open code for "Occlusion-aware road extraction network for high-resolution remote sensing imagery"

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

Building Extraction from remote sensing image using Vision Transformer, IEEE Transactions on Geoscience and Remote Sensing, 2022

This is the pytorch implement of our paper "RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model"

The official pytorch implementation of Exploring the User Guidance for More Accurate Building Segmentation from High-Resolution Remote Sensing Images [JAG 2024]

Count the MACs / FLOPs of your MindSpore model.

[IEEE TMI] Official Implementation for UNet++

A CNN Regression Model to Estimate Buildings Height Maps Using Sentinel-1 SAR and Sentinel-2 MSI Time Series (IGARSS 2023)

Official implementation of SCTNet (AAAI2024)

A PyTorch Library for Multi-Task Learning

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

[ICCV 2021] Code for approximated exponential maximum pooling

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

Regularization of Building Boundaries using Adversarial and Regularized losses

Real-time Semantic Segmentation

A Simple but Effective Downsampling Module For Semantic Segmentation

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✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

Count the MACs / FLOPs of your PyTorch model.

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This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

TernausNetV2: Fully Convolutional Network for Instance Segmentation

Collection of common code that's shared among different research projects in FAIR computer vision team.

一本系统地教你将深度学习模型的性能最大化的战术手册。