Variational Attention: Propagating Domain-Specific Knowledge for
Multi-Domain Learning in Crowd Counting

Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting

18 August 2021

Lei Zhang

Papers citing "Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting"

9 / 9 papers shown

Title
Variational Probabilistic Fusion Network for RGB-T Semantic Segmentation Baihong Lin Zengrong Lin Yulan Guo Yulan Zhang Jianxiao Zou Shicai Fan 25 5 0 17 Jul 2023
Density Map Distillation for Incremental Object Counting Chenshen Wu Joost van de Weijer 18 2 0 11 Apr 2023
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model Dingkang Liang Jiahao Xie Zhikang Zou Xiaoqing Ye Wei Xu Xiang Bai SSL CLIP VLM 24 52 0 09 Apr 2023
Redesigning Multi-Scale Neural Network for Crowd Counting Zhipeng Du Miaojing Shi Jiankang Deng S. Zafeiriou 26 44 0 04 Aug 2022
Rethinking Spatial Invariance of Convolutional Networks for Object Counting Zhi-Qi Cheng Qi Dai Hong Li JingKuan Song Xiao-Jun Wu Alexander G. Hauptmann 3DPC 29 95 0 10 Jun 2022
Forget Less, Count Better: A Domain-Incremental Self-Distillation Learning Benchmark for Lifelong Crowd Counting Jiaqi Gao Jingqi Li Hongming Shan Yanyun Qu J. Z. Wang Fei-Yue Wang Junping Zhang 25 19 0 06 May 2022
SSR-HEF: Crowd Counting with Multi-Scale Semantic Refining and Hard Example Focusing Jiwei Chen Kewei Wang Wen Su Zengfu Wang 19 10 0 15 Apr 2022
Leveraging Self-Supervision for Cross-Domain Crowd Counting Weizhe Liu N. Durasov Pascal Fua 13 40 0 30 Mar 2021
A Survey on Deep Learning-based Single Image Crowd Counting: Network Design, Loss Function and Supervisory Signal Haoyue Bai Jiageng Mao Shueng-Han Gary Chan 28 22 0 31 Dec 2020