The collection of pre-trained, state-of-the-art AI models for ailia SDK
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Updated
May 31, 2024 - Python
The collection of pre-trained, state-of-the-art AI models for ailia SDK
This repository contains the code for the Curriculum Learning (CL) based algorithm for crowd counting, as described in our paper "Optimizing Crowd Counting in Dense Environments through Curriculum Learning Training Strategy".
Summary of RGB-T Salient Object Detection, Semantic segmentation and Crowd Counting.
The smart city reference pipeline shows how to integrate various media building blocks, with analytics powered by the OpenVINO™ Toolkit, for traffic or stadium sensing, analytics and management tasks.
An experiment in open-ended publishing
Project page for "OmniCount: Multi-label Object Counting with Semantic-Geometric Priors"
The official implementation of "Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting"
An open-source PyTorch code for crowd counting
智能视频分析:视频目标检测,视频人群计数
STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning, ICCV, 2023
Address the crowd counting problem on the Mall dataset (sparse) by exploring regression-based (Xception) and density-based (CSRNet) approaches.
ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary Transformer
Crowd Counting: A view around state-of-the-art
Official Implement of CVPR 2022 paper 'Boosting Crowd Counting via Multifaceted Attention'
Implement SANet for crowd counting in Keras.
The code of paper: Hypergraph Association Weakly Supervised Crowd Counting
This is the key code of the paper "CCST: Crowd Counting with Swin Transformer"
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