no code implementations • 3 Aug 2023 • Daniel Brignac, Niels Lobo, Abhijit Mahalanobis
Continual learning seeks to enable deep learners to train on a series of tasks of unknown length without suffering from the catastrophic forgetting of previous tasks.
1 code implementation • CVPR 2023 • Aisha Urooj Khan, Hilde Kuehne, Bo Wu, Kim Chheu, Walid Bousselham, Chuang Gan, Niels Lobo, Mubarak Shah
The proposed method is trained in an end-to-end manner and optimized by a VQA loss with the cross-entropy function and a Hungarian matching loss for the situation graph prediction.
Ranked #6 on Video Question Answering on AGQA 2.0 balanced (Average Accuracy metric)
1 code implementation • CVPR 2021 • Aisha Urooj Khan, Hilde Kuehne, Kevin Duarte, Chuang Gan, Niels Lobo, Mubarak Shah
In this paper, we focus on a more relaxed setting: the grounding of relevant visual entities in a weakly supervised manner by training on the VQA task alone.
no code implementations • 17 Nov 2019 • Zhibo Wang, Shen Yan, XiaoYu Zhang, Niels Lobo
(Very early draft)Traditional supervised learning keeps pushing convolution neural network(CNN) achieving state-of-art performance.