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pro vyhledávání: '"Naga Venkata Sai Raviteja Chappa"'
HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group-Activity Scene Graph Generation in Videos
Publikováno v:
Sensors, Vol 24, Iss 11, p 3372 (2024)
Group-activity scene graph (GASG) generation is a challenging task in computer vision, aiming to anticipate and describe relationships between subjects and objects in video sequences. Traditional video scene graph generation (VidSGG) methods focus on
Externí odkaz:
https://doaj.org/article/ef9797f768064c289ed8da20cbcc2866
Autor:
Ibsa Jalata, Naga Venkata Sai Raviteja Chappa, Thanh-Dat Truong, Pierce Helton, Chase Rainwater, Khoa Luu
Publikováno v:
IEEE Access, Vol 10, Pp 93203-93211 (2022)
In this paper, we present an end-to-end unsupervised domain adaptation approach to image deblurring. This work focuses on learning and generalizing the complex latent space of the source domain and transferring the extracted information to the unlabe
Externí odkaz:
https://doaj.org/article/06cc3ee468314978b9d6ee865d4e1543