3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CL2022
SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale
Raphael Tang, Karun Kumar, Gefei Yang +7
End-to-end automatic speech recognition systems represent the state of the art, but they rely on thousands of hours of manually annotated speech for training, as well as heavyweigh…
cs.CV2020★ 3 cited
End-to-end Deep Object Tracking with Circular Loss Function for Rotated Bounding Box
Vladislav Belyaev, Aleksandra Malysheva, Aleksei Shpilman
The task object tracking is vital in numerous applications such as autonomous driving, intelligent surveillance, robotics, etc. This task entails the assigning of a bounding box to…