Learning Adaptive Search with Reinforcement Learning for Small and Fast Object Tracking
AdaSAM2 is introduced, a framework that formulates adaptive search-region selection as a sequential decision-making problem that employs an event-driven reinforcement learning policy that selects the cropping scale only during initialization and unreliable tracking states, while reusing the previous configuration durin...
Bin-Rui Liu, Xin-Yi Bo, Wen-Bin Luo et al.
· Italian National Conference... · 0 citations