Stars
A cluster framework for 'Clustering by fast search and find of density peaks' in science 2014.
A Python implementation of the Kanade–Lucas–Tomasi (KLT) feature tracker
I'm not the author, and just try to code it with python
由时间空间成对组成的轨迹序列，通过循环神经网络lstm，自编码器auto-encode，时空密度聚类st-dbscan做异常检测
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems (ECCV 2020)
Nvidia Semantic Segmentation monorepo
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
[ECCV-2020]: Improving Semantic Segmentation via Decoupled Body and Edge Supervision
Library System for Java Web WITHOUT Spring Spring-MVC or Mybatis
🏦 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）
🤘 awesome-semantic-segmentation
From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting
Minimal PyTorch implementation of YOLOv3
Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
We collected 100 videos captured from 13 different scenes, and FDST dataset contains 150,000 frames, with a total of 394,081 annotated heads.
Fast computing density maps for ShanghaiTech and other datasets
Implementation of Convolutional LSTM in PyTorch.