I-MMCCN: Improved MMCCN for RGB-T Crowd Counting of Drone Images-Reference-Cited by-同舟云学术

I-MMCCN: Improved MMCCN for RGB-T Crowd Counting of Drone Images

Published:2021-11-17 Issue: Volume: Page:
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Container-title:2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)
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Author:

Zhang Binyu,Du Yunhao,Zhao Yanyun,Wan Junfeng,Tong Zhihang

Funder

Chinese National Natural Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9660393/9660398/09660586.pdf?arnumber=9660586

Reference19 articles.

1. Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting

2. Image Quality Assessment: From Error Visibility to Structural Similarity

3. Training region-based object detectors with online hard example mining [C];shrivastava;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2016

4. TransCrowd: Weakly-Supervised Crowd Counting with Transformer [J];liang;ArXiv Preprint,2021

5. Single-Image Crowd Counting via Multi-Column Convolutional Neural Network

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