Domain Adaptation for Visual Understanding

Inbunden, Engelska, 2020

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Beskrivning

This unique volume reviews the latest advances in domain adaptation in the training of machine learning algorithms for visual understanding, offering valuable insights from an international selection of experts in the field.

Produktinformation

Utgivningsdatum:2020-01-09
Mått:155 x 235 x 15 mm
Vikt:407 g
Format:Inbunden
Språk:Engelska
Antal sidor:144
Förlag:Springer Nature Switzerland AG
ISBN:9783030306700

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Programmeringsböcker inom Data och IT

Mer om författaren

Dr. Richa Singh is a Professor at Indraprastha Institute of Information Technology, Delhi, India. Dr. Mayank Vatsa is a Professor at the same institution. Dr. Vishal M. Patel is an Assistant Professor in the Department of Electrical and Computer Engineering at Johns Hopkins University, Baltimore, MD, USA. Dr. Nalini Ratha is a Research Staff Member at the IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA.

Innehållsförteckning

Domain Adaptation for Visual Understanding.- M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning.- XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings.- Improving Transferability of Deep Neural Networks.- Cross Modality Video Segment Retrieval with Ensemble Learning.- On Minimum Discrepancy Estimation for Deep Domain Adaptation.- Multi-Modal Conditional Feature Enhancement for Facial Action Unit Recognition.- Intuition Learning.- Alleviating Tracking Model Degradation Using Interpolation-Based Progressive Updating.