Serial / CDBUS / CDNET GUI Tool

The tutorials, datasets and source codes of the crosswalk detection (zebra crossing detection) network, which is robust in real scenes and real-time in Jetson nano. cross. detect. pedestrian.

CDNET Protocol and CDBUS / CDNET C Library (The library is MCU-oriented.)

Official Pytorch Implementation of Adversarial Instance Augmentation for Building Change Detection in Remote Sensing Images.

an unoffice reimpliment for main remote sensing change detection network. including CDNet FC-EF FC-EF-conc FC-EF-diff FC-EF-Res FCN-PP UNet_ASPP UNet++ and some work of main

Stepper Motor Controller

USB to RS-485 (CDBUS) Converter

LightCDNet: Lightweight Change Detection Network Based on VHR Images

Measuring Perceptual Color Differences of Smartphone Photographs

ICCV2021-CDNet: Centripetal Direction Network for Nuclear Instance Segmentation

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Pytorch code for paper "CDnetV2: CNN-Based Cloud Detection for Remote Sensing Imagery With Cloud-Snow Coexistence"

Demo

This is the official implemantation of “Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition” (ECCV 2022)

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💟《CDNet：一个基于YOLOv5的在Jetson Nano上实时、鲁棒的斑马线检测网络》论文的原生（ultralytics）yolov5训练、推理baseline仓库

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A Cross-domain Change Detection Network Based on Instance Normalization

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We proposed a novel change detection module for change detection in adverse image conditions, named IA-CDNet.

The pytorch implementation of SA-CDNet, Semantic-aware Change Detection Network.

Interactive Brain Tumor Segmentation with FocalClick and CDNet

Virtual IP/UDP network interface for CDNET

Pytorch code for paper " CDnetv1 CNN-Based Cloud Detection for Remote Sensing Imagery"

An Extremely Lightweight Change Detection Algorithm Based on Light Global-Local Feature Enhancement Module (IEEE GRSL 2023)

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OoWHU_CD, OoLEVIR-CD+, and OoS2Looking

This C++ source code is for background subtraction based on improved SuBSENSE method. The main contribution of this source code is to address the effects of intermittent object Motion, camera jitter and dynamic background. It has been tested with OpenCV 2.4.10 and CDnet dataset. If you use this code in your publications, please cite: St-Charles P L, Bergevin R. SuBSENSE: A Universal Change Detection Method with Local Adap-tive Sensitivity. IEEE Transactions on Image Processing, 2015, 24(1), 359-373. Pleaes note that our own paper will be published in future......

CDBUS / CDNET Python Library

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