Jun 7, 2020 · A Multi-Level Feature Fusion Based Locality-Constrained Spatial Transformer Network (MLSTN) is proposed, which consists of two components, namely density map ...
Jul 18, 2019 · A large-scale video crowd counting dataset is collected, which contains 15K frames with about 394K annotated heads captured from 13 different scenes.
Missing: Multi- level fusion
Locality-constrained Spatial Transformer Network for Video ...
www.researchgate.net › Home › Crowding
To alleviate these issues in video crowd counting, a Multi-Level Feature Fusion Based Locality-Constrained Spatial Transformer Network (MLSTN) is proposed, ...
A Locality-constrained Spatial Transformer Network (LSTN) is proposed to alleviate issues in video crowd counting by leveraging a Convolutional Neural ...
TL;DR: A comprehensive review of the recent research advancement on crowd counting and density estimation can be found in this article, where the authors ...
[MLSTN] Multi-level feature fusion based Locality-Constrained Spatial Transformer network for video crowd counting (Neurocomputing) [paper](extension of LSTN) ...
Crowd counting in dense UAV images based on multiscale feature fusion ... Multi-Level Dynamic Graph Convolutional Networks for Weakly Supervised Crowd Counting.
Fang, Yanyan,et al."Multi -level feature fusion based Locality -Constrained Spatial Transformer network for video crowd counting".NEUROCOMPUTING 392(2020):98- ...
GTFNet: Ground Truth Fitting Network for Crowd Counting · Multi-level feature fusion based Locality-Constrained Spatial Transformer network for video crowd ...
Motion-guided Non-local Spatial-Temporal Network for Video Crowd Counting [paper] ... [MLSTN] Multi-level feature fusion based Locality-Constrained Spatial ...