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[CVPR'22 & IJCV'24] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels & Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation
SAFC — 元平台、弱中心 — 不止是评价导师 | Student Anti-Fraud Center - Meta & Decentralization - not just reviewing supervisor
OpenPCSeg: Open Source Point Cloud Segmentation Toolbox and Benchmark
通过将整个项目的代码转成一个txt格式文件，通过langchain和chatgpt帮助我们更好的理解代码。
[NeurIPS'23 Spotlight] Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
用于遥感图像场景分析的中文多模态大模型 | Chinese multimodal large-scale model for remote sensing image scene analysis
Segment Anything in Medical Images
Multi-Modal Fusion Network for Semantic Segmentation
Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)
[CVPR'24] Aerial Lifting: Neural Urban Semantic and Building Instance Lifting from Aerial Imagery
🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)
Our PyTorch implementation of RandLA-Net (https://github.com/QingyongHu/RandLA-Net)
This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, …
List of datasets, codes, and contests related to remote sensing change detection
The pytorch implemention of FCCDN for change detection task
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
A pytorch project of the algorithm FCD-GAN. Fully Convolutional Change Detection Framework with Generative Adversarial Network (FCD-GAN) is a newly proposed framework for change detection in multi-…
A technical report on convolution arithmetic in the context of deep learning
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)
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This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.