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Learning Deep Representations via Contrastive Learning for Instance Retrieval
To begin with, we investigate the efficacy of transfer learning in IIR, by comparing off-the-shelf features learned by a pre-trained deep neural network (DNN) classifier with features learned by a CL model.
Autonomous Control of a Line Follower Robot Using a Q-Learning Controller
The mathematical modeling for the robot is presented in this paper, and a simulator is designed based on this model.
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