Contact
Cum să cumpăr
Livrare
Consilier de cumpărături
Deep Learning for Video Understanding
engleză
367 b
30 de zile pentru retur bunuri
Clienții au cumpărat de asemenea
This book presents deep learning techniques for video understanding. For deep learning basics, the authors cover machine learning pipelines and notations, 2D and 3D Convolutional Neural Networks for spatial and temporal feature learning. For action recognition, the authors introduce classical frameworks for image classification, and then elaborate both image-based and clip-based 2D/3D CNN networks for action recognition. For action detection, the authors elaborate sliding windows, proposal-based detection methods, single stage and two stage approaches, spatial and temporal action localization, followed by datasets introduction. For video captioning, the authors present language-based models and how to perform sequence to sequence learning for video captioning. For unsupervised feature learning, the authors discuss the necessity of shifting from supervised learning to unsupervised learning and then introduce how to design better surrogate training tasks to learn video representations. Finally, the book introduces recent self-training pipelines like contrastive learning and masked image/video modeling with transformers. The book provides promising directions, with an aim to promote future research outcomes in the field of video understanding with deep learning.
Informații despre carte
engleză
Dăruiește această carte chiar astăzi
Este foarte ușor
1 Adaugă cartea în coș și selectează Livrează ca un cadou 2 Îți vom trimite un voucher în schimb 3 Cartea va ajunge direct la adresa destinataruluiAr putea de asemenea, să te intereseze
/
Copertă tare
765.16
lei
/
Carte broșată
220.72
lei
