TRANSFER LEARNING BETWEEN DIFFERENT COMPUTER VISION TASKS

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network to perform a downstream computer vision task. One of the methods includes pre-training an initial neural network that shares layers with the neural network to perform an init...

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Hauptverfasser:	Karthikesalingam, Alan Prasana, Mustafa, Basil, Zhai, Xiaohua, Gelly, Sylvain, Kolesnikov, Alexander, Puigcerver i Perez, Joan, Yung, Yin Ching Jessica, MacWilliams, Patricia Leigh, Beyer, Lucas Klaus, Loh, Wen Yau Aaron, Freyberg, Jan, Houlsby, Neil Matthew Tinmouth, Natarajan, Vivek
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA IMAGE DATA PROCESSING OR GENERATION, IN GENERAL INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS
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Zusammenfassung:	Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network to perform a downstream computer vision task. One of the methods includes pre-training an initial neural network that shares layers with the neural network to perform an initial computer vision task and then training the neural network on the downstream computer vision task.