C^3 Framework: An Open-source PyTorch Code for Crowd Counting
원문 초록
This technical report attempts to provide efficient and solid kits addressed on the field of crowd counting, which is denoted as Crowd Counting Code Framework (C$^3$F). The contributions of C$^3$F are in three folds: 1) Some solid baseline networks are presented, which have achieved the state-of-the-arts. 2) Some flexible parameter setting strategies are provided to further promote the performance. 3) A powerful log system is developed to record the experiment process, which can enhance the reproducibility of each experiment. Our code is made publicly available at \url{https://github.com/gjy3035/C-3-Framework}. Furthermore, we also post a Chinese blog\footnote{\url{https://zhuanlan.zhihu.com/p/65650998}} to describe the details and insights of crowd counting.
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Car Object Counting and Position Estimation via Extension of the CLIP-EBC Framework
EBC-ZIP: Improving Blockwise Crowd Counting with Zero-Inflated Poisson Regression
Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting
Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network
CrowdVLM-R1: Expanding R1 Ability to Vision Language Model for Crowd Counting using Fuzzy Group Relative Policy Reward
Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting
토론
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