G Nan, R Qiao, Y Xiao, J Liu, S Leng… - Proceedings of the …, 2021 - openaccess.thecvf.com
Video grounding aims to localize a moment from an untrimmed video for a given textual query. Existing approaches focus more on the alignment of visual and language stimuli with …
A recent study has shown a phenomenon called neural collapse in that the within-class means of features and the classifier weight vectors converge to the vertices of a simplex …
Real-world training data usually exhibits long-tailed distribution, where several majority classes have a significantly larger number of samples than the remaining minority classes …
This paper presents the results of the news translation task, the multilingual low-resource translation for Indo-European languages, the triangular translation task, and the automatic …
C Zheng, X Lyu, L Gao, B Dai… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Abstract Current Scene Graph Generation (SGG) methods explore contextual information to predict relationships among entity pairs. However, due to the diverse visual appearance of …
L Xiang, G Ding, J Han - Computer Vision–ECCV 2020: 16th European …, 2020 - Springer
In real-world scenarios, data tends to exhibit a long-tailed distribution, which increases the difficulty of training deep networks. In this paper, we propose a novel self-paced knowledge …
H Yu, H Deng, J He, JD Keasling, X Luo - Nature communications, 2023 - nature.com
Prediction of enzyme kinetic parameters is essential for designing and optimizing enzymes for various biotechnological and industrial applications, but the limited performance of …
R Ye, M Xu, J Wang, C Xu, S Chen… - … on Machine Learning, 2023 - proceedings.mlr.press
This work considers the category distribution heterogeneity in federated learning. This issue is due to biased labeling preferences at multiple clients and is a typical setting of data …
Recent years have witnessed the rapid progress of generative adversarial networks (GANs). However, the success of the GAN models hinges on a large amount of training data. This …