Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving in Dynamic Environments
In the era of the Internet of Things (IoT) objects connect through a dynamic network
empowered by technologies like 5G enabling real-time data sharing. However smart objects …
empowered by technologies like 5G enabling real-time data sharing. However smart objects …
DaCapo: Accelerating Continuous Learning in Autonomous Systems for Video Analytics
Deep neural network (DNN) video analytics is crucial for autonomous systems such as self-
driving vehicles, unmanned aerial vehicles (UAVs), and security robots. However, real-world …
driving vehicles, unmanned aerial vehicles (UAVs), and security robots. However, real-world …
On the Query Strategies for Efficient Online Active Distillation
Deep Learning (DL) requires lots of time and data, resulting in high computational demands.
Recently, researchers employ Active Learning (AL) and online distillation to enhance …
Recently, researchers employ Active Learning (AL) and online distillation to enhance …
Master Thesis: Online Distillation with Continual Learning for Cyclic Domain Shifts
J Houyon - 2023 - matheo.uliege.be
The technique of online distillation has become increasingly popular in adapting real-time
deep neural networks using a slow and accurate teacher model. However, one of the most …
deep neural networks using a slow and accurate teacher model. However, one of the most …
[PDF][PDF] DACAPO: Accelerating Continuous Learning in Autonomous Systems for Video Analytics
YKCOJ Hwang, WKS Oh, YLH Sharma… - jongse-park.github.io
Deep neural network (DNN) video analytics is crucial for autonomous systems such as self-
driving vehicles, unmanned aerial vehicles (UAVs), and security robots. However, real-world …
driving vehicles, unmanned aerial vehicles (UAVs), and security robots. However, real-world …