上传一些嵌入式方面的产品级项目，可能是基于STM32的，也可能是基于其它芯片方案的

嵌入式软件之路与欧陆CS留学

精品嵌入式资源汇总

嵌入式软件工程师笔试面试指南，主要收录笔试面试八股文。包括C/C++，计算机基础，操作系统，Linux驱动，Arm体系与架构，网络编程，大厂笔试面试题等。持续更新中~~有问题可以加我微信，LinuxDriverDev

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a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

Implementation Code for the ICCASSP 2023 paper " Efficient Multi-Scale Attention Module with Cross-Spatial Learning" and is available at: https://arxiv.org/abs/2305.13563v2

The official code of "Rethinking Local Perception in Lightweight Vision Transformer"

CSANet: Cross-Temporal Interaction Symmetric Attention Network for Hyperspectral Image Change Detection

[IEEE TGRS-2023] VcT: Visual change Transformer for Remote Sensing Image Change Detection

codes for the JSTARS paper: Attentional Dense Convolutional Neural Network for Water Body Extraction From Sentinel-2 Images

The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

List of datasets, codes, and contests related to remote sensing change detection

[ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Your Own View: Graph Contrastive Learning without Prefabricated Dat…

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)

Code for Paper < >

official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection

CVPR 2024 论文和开源项目合集

The best and simplest free open source web page change detection, website watcher, restock monitor and notification service. Restock Monitor, change detection. Designed for simplicity - Simply moni…

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

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