Knowledge distillation and student-teacher learning for visual intelligence: A review and new outlooks
L Wang, KJ Yoon - IEEE transactions on pattern analysis and …, 2021 - ieeexplore.ieee.org
Deep neural models, in recent years, have been successful in almost every field, even
solving the most complex problem statements. However, these models are huge in size with …
solving the most complex problem statements. However, these models are huge in size with …
There is more than meets the eye: Self-supervised multi-object detection and tracking with sound by distilling multimodal knowledge
FR Valverde, JV Hurtado… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Attributes of sound inherent to objects can provide valuable cues to learn rich
representations for object detection and tracking. Furthermore, the co-occurrence of …
representations for object detection and tracking. Furthermore, the co-occurrence of …
Geoinformation harvesting from social media data: A community remote sensing approach
As unconventional sources of geoinformation, massive imagery and text messages from
open platforms and social media form a temporally quasi-seamless, spatially …
open platforms and social media form a temporally quasi-seamless, spatially …
Learning a dynamic map of visual appearance
The appearance of the world varies dramatically not only from place to place but also from
hour to hour and month to month. Every day billions of images capture this complex …
hour to hour and month to month. Every day billions of images capture this complex …
Learning to Map the Visual and Auditory World
T Salem - 2019 - uknowledge.uky.edu
The appearance of the world varies dramatically not only from place to place but also from
hour to hour and month to month. Billions of images that capture this complex relationship …
hour to hour and month to month. Billions of images that capture this complex relationship …