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Jul 19, 2021 · There are 14 algorithms from 15 institutes submitted to the VisDrone-CC2020 Challenge. We provide a detailed analysis of the evaluation results ...
Jan 3, 2021 · 4.2 Overall Results. The overall results of all submissions are shown in Fig. 2. FPNCC (A.1) obtains the best overall MAE score of 11.66 and ...
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. from www.researchgate.net
Mar 12, 2024 · The collected dataset is formed by $3,360$ images, including $2,460$ images for training, and $900$ images for testing. Specifically, we ...
There are $14$ algorithms from $15$ institutes submitted to the VisDrone-CC2020 Challenge. We provide a detailed analysis of the evaluation results and conclude ...
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. from aiskyeye.com
The challenge will provide 112 challenging sequences, including 82 video sequences for training (2,420 frames in total), and 30 sequences for testing (900 ...
Missing: CC2020: | Show results with:CC2020:
The results show that our proposed method outperforms the pre-trained CNN-based approach and receives very precise counting results for different zoom factors, ...
Participants are invited to submit their results of crowd counting algorithms as well as their method description to avoid cheating in our com- petition. There ...
Single image crowd counting is a challenging computer vision problem with wide applications in public safety, city planning, traffic management, etc. 1.
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. from aiskyeye.com
The VisDrone 2020 Challenge will be held on the ECCV 2020 workshop “Vision Meets ... (4) Task 4: crowd counting challenge. The task aims to counting ...
Missing: CC2020: Results.