39 citations · 44 across the 6 of their papers we have counts for
3 papers · 1 filter
SALAD: Self-Assessment Learning for Action Detection
Guillaume Vaudaux-Ruth, Adrien Chan-Hon-Tong, Catherine Achard
Literature on self-assessment in machine learning mainly focuses on the production of well-calibrated algorithms through consensus frameworks i.e. calibration is seen as a problem.…
Explaining Regression Based Neural Network Model
Mégane Millan, Catherine Achard
Several methods have been proposed to explain Deep Neural Network (DNN). However, to our knowledge, only classification networks have been studied to try to determine which input d…
ActionSpotter: Deep Reinforcement Learning Framework for Temporal Action Spotting in Videos
Guillaume Vaudaux-Ruth, Adrien Chan-Hon-Tong, Catherine Achard
Summarizing video content is an important task in many applications. This task can be defined as the computation of the ordered list of actions present in a video. Such a list coul…