Unsupervised Domain Adaptation for Image Classification and Object Detection Using Guided Transfer Learning Approach and JS Divergence

Unsupervised domain adaptation (UDA) is a transfer learning technique utilized in deep learning. UDA aims to reduce the distribution gap between labeled source and unlabeled target domains by adapting a model through fine-tuning. Typically, UDA approaches assume the same categories in both domains....

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Ngā kaituhi matua:	Parth Goel, Amit Ganatra
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	MDPI AG 2023-04-01
Rangatū:	Sensors
Ngā marau:	domain adaptation transfer learning image classification object detection convolutional neural network deep learning
Urunga tuihono:	https://www.mdpi.com/1424-8220/23/9/4436
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!