IMPROVING SELF-SUPERVISED REPRESENTATION LEARNING IN MOCO V2 WITH QUEUE OPTIMIZATION
This research is motivated by the need to improve the performance of selfsupervised learning models, particularly the Momentum Contrastive version 2 (MoCo v2) architecture. This study aims to develop a more robust and accurate MoCo v2 model by adding a K-Nearest Neighbors (KNN) mechanism to the q...
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| Main Author: | |
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/87791 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
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