Search Results for author:
Found 5 papers, 0 papers with code
PatentNet: A Large-Scale Incomplete Multiview, Multimodal, Multilabel Industrial Goods Image Database
In deep learning area, large-scale image datasets bring a breakthrough in the success of object recognition and retrieval.
BERT-hLSTMs: BERT and Hierarchical LSTMs for Visual Storytelling
Visual storytelling is a creative and challenging task, aiming to automatically generate a story-like description for a sequence of images.
Ranked #21 on
Visual Storytelling
on VIST
(CIDEr metric)
Generating Descriptions for Sequential Images with Local-Object Attention and Global Semantic Context Modelling
In this paper, we propose an end-to-end CNN-LSTM model for generating descriptions for sequential images with a local-object attention mechanism.
Hybrid Low-order and Higher-order Graph Convolutional Networks
With higher-order neighborhood information of graph network, the accuracy of graph representation learning classification can be significantly improved.
