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chaoxiang661's Projects

-pytorch-ddpm icon -pytorch-ddpm

Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models

advcam icon advcam

Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation (CVPR 2021)

aotodata icon aotodata

朱小五写文章涉及到的数据分析,爬虫,源数据

awesome-object-detection icon awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

cct icon cct

[CVPR 2020] Semi-Supervised Semantic Segmentation with Cross-Consistency Training.

crack-extract icon crack-extract

Tool to extract cracks from 2D images, and quantify their geometry.

crack_detection_cnn_masonry icon crack_detection_cnn_masonry

This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning" by D. Dais, İ. E. Bal, E. Smyrou, and V. Sarhosis published in "Automation in Construction".

cs-books icon cs-books

超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

dat icon dat

PyTorch code for our ICCV 2023 paper "Dual Aggregation Transformer for Image Super-Resolution"

dcac icon dcac

Code for Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation.

dcp icon dcp

Official PyTorch Implementation of Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation (IJCAI 2022 Long Oral).

ddpm-cd icon ddpm-cd

Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models

deepface icon deepface

Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

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