60 citations · 151 across the 17 of their papers we have counts for
4 papers · 1 filter
Off-Policy Self-Critical Training for Transformer in Visual Paragraph Generation
Shiyang Yan, Yang Hua, Neil M. Robertson
Recently, several approaches have been proposed to solve language generation problems. Transformer is currently state-of-the-art seq-to-seq model in language generation. Reinforcem…
ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks
Xinshao Wang, Yang Hua, Elyor Kodirov +2
To train robust deep neural networks (DNNs), we systematically study several target modification approaches, which include output regularisation, self and non-self label correction…
ParaCNN: Visual Paragraph Generation via Adversarial Twin Contextual CNNs
Shiyang Yan, Yang Hua, Neil Robertson
Image description generation plays an important role in many real-world applications, such as image retrieval, automatic navigation, and disabled people support. A well-developed t…
Object-Adaptive LSTM Network for Real-time Visual Tracking with Adversarial Data Augmentation
Yihan Du, Yan Yan, Si Chen +1
In recent years, deep learning based visual tracking methods have obtained great success owing to the powerful feature representation ability of Convolutional Neural Networks (CNNs…