research
∙
07/24/2023
Multiscale Video Pretraining for Long-Term Activity Forecasting
Long-term activity forecasting is an especially challenging research pro...
share
research
∙
07/11/2023
EgoAdapt: A multi-stream evaluation study of adaptation to real-world egocentric user video
In egocentric action recognition a single population model is typically ...
research
∙
12/13/2022
3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding
Continual Learning, also known as Lifelong or Incremental Learning, has ...
research
∙
10/07/2022
CLAD: A realistic Continual Learning benchmark for Autonomous Driving
In this paper we describe the design and the ideas motivating a new Cont...
research
∙
05/26/2022
Continual evaluation for lifelong learning: Identifying the stability gap
Introducing a time dependency on the data generating distribution has pr...
research
∙
04/04/2022
Re-examining Distillation For Continual Object Detection
Training models continually to detect and classify objects, from new cla...
research
∙
04/15/2021
Rehearsal revealed: The limits and merits of revisiting samples in continual learning
Learning from non-stationary data streams and overcoming catastrophic fo...
research
∙
09/02/2020
Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams
As learning from non-stationary streams of data has been proven a challe...
research
∙
03/30/2020
Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem
This work investigates the task of unsupervised model personalization, a...
research
∙
09/18/2019
