03004nas a2200409 a 4500 20260817161452.0 210308s2020 th a r m 000 eng d .b12366134 AIT RSPR no.CS-20-01 Tirumalasetty, Gayatri Action recognition in generalized zero-shot learning setting using the conditional generative adversarial network Pathum Thani, Thailand : Asian Institute of Technology, 2020 37 leaves : ill. Research studies project report ; no. A research study submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Computer Science, School of Engineering and Technology Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 2020 Human action recognition is an interesting area of research which has found applications in security surveillance systems, robotics, human-computer interaction and so on. Human actions can be classified into usual (mundane) events and unusual (peculiar) events. The traditional supervised learning models that discriminate between classes are helpful in clas sifying mundane actions of which the data is available during training. But in case of unusual events, we do not generally possess the example data during training. This now becomes a problem of zero-shot learning. In this study, I explore generative models to produce in stances of peculiar action events with the help of semantic meaning related to the action classes. The data from different places at AIT has been combined with benchmark UCF101 dataset to carry out the experiment. I have achieved an accuracy of 96.7% on the usual event classification and 60.94% on unusual event classification tasks during test time. Machine learning Dailey, Mathew N., Chairperson Phan, Minh Dung, Examination Committee Chutiporn Anutariya, Examination Committee AIT Fellowship, Scholarship Donor Asian Institute of Technology. Research studies project report ; no. Full-Text http://203.159.5.9/ait-thesis/detail.php?q=B11696 .b12366134 mnait m 250428 0 210308 m a m 0 mnarc mnait mnait 40 20 Barcode : 3005012090005 CREATED : 2025-04-03 RECORD # : i13535717 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050120426258 CREATED : 2025-01-04 RECORD # : i13541523 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050120426241 CREATED : 2025-01-04 RECORD # : i13541535 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 1422 1422 0 0 0 0 MAIN MAIN mnarc 2026-08-17 0 AIT RSPR no.CS-20-01 3005012090005 2026-08-17 16:14:52 1 2026-08-17 40 0 0 0 0 MAIN MAIN mnait 2026-08-17 50.00 0 AIT RSPR no.CS-20-01 30050120426258 2026-08-17 16:14:52 1 2026-08-17 20 0 0 0 0 MAIN MAIN mnait 2026-08-17 50.00 0 AIT RSPR no.CS-20-01 30050120426241 2026-08-17 16:14:52 2 2026-08-17 20