These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
144 related articles for article (PubMed ID: 36267471)
1. Exploring density rectification and domain adaption method for crowd counting. Peng S; Yin B; Yang Q; He Q; Wang L Neural Comput Appl; 2023; 35(4):3551-3569. PubMed ID: 36267471 [TBL] [Abstract][Full Text] [Related]
2. PaDNet: Pan-Density Crowd Counting. Tian Y; Lei Y; Zhang J; Wang JZ IEEE Trans Image Process; 2019 Nov; ():. PubMed ID: 31725380 [TBL] [Abstract][Full Text] [Related]
3. JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method. Sindagi VA; Yasarla R; Patel VM IEEE Trans Pattern Anal Mach Intell; 2022 May; 44(5):2594-2609. PubMed ID: 33147141 [TBL] [Abstract][Full Text] [Related]
5. Feature-Aware Adaptation and Density Alignment for Crowd Counting in Video Surveillance. Gao J; Yuan Y; Wang Q IEEE Trans Cybern; 2021 Oct; 51(10):4822-4833. PubMed ID: 33259318 [TBL] [Abstract][Full Text] [Related]
6. HRANet: Hierarchical region-aware network for crowd counting. Xie J; Gu L; Li Z; Lyu L Appl Intell (Dordr); 2022; 52(11):12191-12205. PubMed ID: 35125656 [TBL] [Abstract][Full Text] [Related]
7. DMPNet: densely connected multi-scale pyramid networks for crowd counting. Li P; Zhang M; Wan J; Jiang M PeerJ Comput Sci; 2022; 8():e902. PubMed ID: 35494810 [TBL] [Abstract][Full Text] [Related]
8. HADF-Crowd: A Hierarchical Attention-Based Dense Feature Extraction Network for Single-Image Crowd Counting. Ilyas N; Lee B; Kim K Sensors (Basel); 2021 May; 21(10):. PubMed ID: 34067707 [TBL] [Abstract][Full Text] [Related]
9. Confusion Region Mining for Crowd Counting. Zhu J; Zhao W; Yao L; He Y; Hu M; Zhang X; Wang S; Li T; Lu H IEEE Trans Neural Netw Learn Syst; 2023 Sep; PP():. PubMed ID: 37713223 [TBL] [Abstract][Full Text] [Related]
10. Crowd Counting Based on Multiscale Spatial Guided Perception Aggregation Network. Chen Z; Zhang S; Zheng X; Zhao X; Kong Y IEEE Trans Neural Netw Learn Syst; 2023 Aug; PP():. PubMed ID: 37610898 [TBL] [Abstract][Full Text] [Related]
13. Redesigning Multi-Scale Neural Network for Crowd Counting. Du Z; Shi M; Deng J; Zafeiriou S IEEE Trans Image Process; 2023; 32():3664-3678. PubMed ID: 37384475 [TBL] [Abstract][Full Text] [Related]
14. Multiscale Aggregate Networks with Dense Connections for Crowd Counting. Li P; Zhang M; Wan J; Jiang M Comput Intell Neurosci; 2021; 2021():9996232. PubMed ID: 34804153 [TBL] [Abstract][Full Text] [Related]
15. Kernel-Based Density Map Generation for Dense Object Counting. Wan J; Wang Q; Chan AB IEEE Trans Pattern Anal Mach Intell; 2022 Mar; 44(3):1357-1370. PubMed ID: 32903177 [TBL] [Abstract][Full Text] [Related]
16. An Adaptive Multi-Scale Network Based on Depth Information for Crowd Counting. Zhang P; Lei W; Zhao X; Dong L; Lin Z Sensors (Basel); 2023 Sep; 23(18):. PubMed ID: 37765861 [TBL] [Abstract][Full Text] [Related]
18. A Dilated Convolutional Neural Network for Cross-Layers of Contextual Information for Congested Crowd Counting. Zhao Z; Ma P; Jia M; Wang X; Hei X Sensors (Basel); 2024 Mar; 24(6):. PubMed ID: 38544079 [TBL] [Abstract][Full Text] [Related]
19. Spatial-Frequency Attention Network for Crowd Counting. Guo X; Gao M; Zhai W; Shang J; Li Q Big Data; 2022 Oct; 10(5):453-465. PubMed ID: 35679590 [TBL] [Abstract][Full Text] [Related]
20. Redesigned Skip-Network for Crowd Counting with Dilated Convolution and Backward Connection. Sooksatra S; Kondo T; Bunnun P; Yoshitaka A J Imaging; 2020 May; 6(5):. PubMed ID: 34460730 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]