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apap_s

APAP FOR IMAGE STITCHING

attention_mechanisms_for_3d_semantic_segmentation

Improving performance of deep learning models for 3D point cloud semantic segmentation via attention mechanisms

benchmark_sparse

Benchmarking various sparse convolution libraries: MinkowskiEngine, SpConv, TorchSparse, and Open3D.

chatpaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文总结+润色+审稿+审稿回复

codeofpaper

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

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

dscnet

Pytorch Implement of Dynamic Snake Convolution (ICCV2023)

homographynet

Implement of homography net by pytorch

how-do-depth-and-width-affect-cnn-performance-

图像理解作业

imagemosaicing

Source code for Mosaicking of unmanned aerial vehicle imagery in the absence of camera poses, Remote Sensing 2016

imagepropku2021

北京大学2021年图像处理实验课材料

map2dfusion

This is an open-source implementation of paper: Real-time Incremental UAV Image Mosaicing based on Monocular SLAM.

minkowskiengine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

pystitch

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

semantic-kitti-api

SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

spconv-plus

stitchv3

torchsparse

A high-performance neural network library for point cloud processing.

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch