koaliyou
Follow
Stars
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
A PyTorch implementation of the Deep SVDD anomaly detection method
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Implementation of Siamese Neural Networks for One-shot Image Recognition
Implementing Siamese networks with a contrastive loss for similarity learning
Siamese and triplet networks with online pair/triplet mining in PyTorch
Code and models for "Learning to Compare Image Patches via Convolutional Neural Networks"
The repository of WIFS 2021 paper: "Mobile authentication of copy detection patterns: how critical is to know fakes?
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…
Convolutional Neural Network Implementing Spectral Pooling using DCT
DCT (discrete cosine transform) functions for pytorch
Non-official implement of Paper：CBAM: Convolutional Block Attention Module
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
目标检测数据集制作:VOC,COCO,YOLO等常用数据集格式的制作和互相转换脚本
Code for our CVPR 2019 paper: Selective Kernel Networks; See zhihu：https://zhuanlan.zhihu.com/p/59690223
Multi-Object Tracking via DeepSORT
Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
yolo做行人检测+deep-sort做匹配，端对端做多目标跟踪
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow
The custom dataset for fine-tuning the vehicle detector in paper "orientation- and Scale-Invariant Multi-Vehicle Detection and Tracking from Unmanned Aerial Videos".
Image-to-Image Translation in PyTorch
A clean and readable Pytorch implementation of CycleGAN