zxiaolon,ZXiaolon,github

ar-cnn

Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection, ICCV, 2019

attentionmechanise1

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

autopiano

🎹 自由钢琴 AutoPiano - Simple & Elegant Piano Online

awesome-attention-mechanism-in-cv

Awesome List of Attention Modules and Plug&Play Modules in Computer Vision

awesome-low-light-image-enhancement

This is a resouce list for low light image enhancement

awesome-object-detection

Resource collections of object detection

A collection of deep learning based RGB-T-Fusion methods, codes, and datasets. The main directions involved are Multispectral Pedestrian, RGB-T Vehicle Detection, RGB-T Crowd Counting, RGB-T Fusion Tracking.

caltech-extract-data-toolbox

Caltech pedestrian dataset data extraction code.

caltech_pedestrian_ssd_test

create eval file from SSD model for caltech_pedstrain_dataset

caltech_tool_kit

The Caltech Pedestrian tool kit which contains the evaluation tool. Written in Matlab.

ccpd

[ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition

code-server-cloud

cross-modality-knowledge-distillation-for-robust-pedestrian-detection

ICASSP 2023-Cross Modality Knowledge Distillation for Robust Pedestrian Detection in Low Light and Adverse Weather Conditions

cs-books

本仓库无偿分享各种计算机书籍、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~

darkface_eval_tools

deblurganv2

[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

deepl-python

this is the DeepL-python repo

dpir

Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)

eluvletter

https://eluvletter.netlify.app

enlightengan

[IEEE TIP] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang