WebCredits. Other contributors: Peixin Chang Neeloy Chakraborty. Part of the code is based on the following repositories: [1] C. Chen, Y. Liu, S. Kreiss, and A. Alahi, “Crowd-robot interaction: Crowd-aware robot navigation with attention-based deep reinforcement learning,” in International Conference on Robotics and Automation (ICRA), 2024, pp. … Webcrowd counting due to their commendable performances. It is widely accepted that ConvNets trained in an end-to-end manner deliver strikingly better generalization ability than shallow learning approaches with carefully engineered representations. A deep ConvNet [5] was trained alterna-tively with two related learning objectives, crowd density
Crowd Counting using Deep Learning Guide to Crowd Counting
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Crowd and Multi-agent Simulation - GAMMA UNC
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