28 citations · 108 across the 18 of their papers we have counts for
6 papers · 1 filter
Boosting Semi-Supervised 3D Object Detection with Semi-Sampling
Xiaopei Wu, Yang Zhao, Liang Peng +6
Current 3D object detection methods heavily rely on an enormous amount of annotations. Semi-supervised learning can be used to alleviate this issue. Previous semi-supervised 3D obj…
Improving End-to-End Text Image Translation From the Auxiliary Text Translation Task
Cong Ma, Yaping Zhang, Mei Tu +4
End-to-end text image translation (TIT), which aims at translating the source language embedded in images to the target language, has attracted intensive attention in recent resear…
Turning to a Teacher for Timestamp Supervised Temporal Action Segmentation
Yang Zhao, Yan Song
Temporal action segmentation in videos has drawn much attention recently. Timestamp supervision is a cost-effective way for this task. To obtain more information to optimize the mo…
Randomized Sharpness-Aware Training for Boosting Computational Efficiency in Deep Learning
Yang Zhao, Hao Zhang, Xiuyuan Hu
By driving models to converge to flat minima, sharpness-aware learning algorithms (such as SAM) have shown the power to achieve state-of-the-art performances. However, these algori…
Neighborhood Region Smoothing Regularization for Finding Flat Minima In Deep Neural Networks
Yang Zhao, Hao Zhang
Due to diverse architectures in deep neural networks (DNNs) with severe overparameterization, regularization techniques are critical for finding optimal solutions in the huge hypot…
Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning
Yang Zhao, Hao Zhang, Xiuyuan Hu
How to train deep neural networks (DNNs) to generalize well is a central concern in deep learning, especially for severely overparameterized networks nowadays. In this paper, we pr…