Is Exploration All You Need? Effective Exploration Characteristics for Transfer in Reinforcement Learning

no code implementations • 2 Apr 2024 • Jonathan C. Balloch, Rishav Bhagat, Geigh Zollicoffer, Ruoran Jia, Julia Kim, Mark O. Riedl

However, the relationship between specific exploration characteristics and effective transfer learning in deep RL has not been characterized.

Reinforcement Learning (RL) Transfer Learning

Multi-query Vehicle Re-identification: Viewpoint-conditioned Network, Unified Dataset and New Metric

no code implementations • 25 May 2023 • Aihua Zheng, Chaobin Zhang, Weijun Zhang, Chenglong Li, Jin Tang, Chang Tan, Ruoran Jia

Existing vehicle re-identification methods mainly rely on the single query, which has limited information for vehicle representation and thus significantly hinders the performance of vehicle Re-ID in complicated surveillance networks.

Scene Recognition Vehicle Re-Identification

Disentangled Generation Network for Enlarged License Plate Recognition and A Unified Dataset

no code implementations • 2 Jun 2022 • Chenglong Li, Xiaobin Yang, Guohao Wang, Aihua Zheng, Chang Tan, Ruoran Jia, Jin Tang

License plate recognition plays a critical role in many practical applications, but license plates of large vehicles are difficult to be recognized due to the factors of low resolution, contamination, low illumination, and occlusion, to name a few.

Disentanglement License Plate Recognition +2