Jun 14, 2019 · In this paper, we propose a novel local and global deep matching model to tackle bidirectional image-sentence retrieval.
The proposed CASC is a joint framework that performs cross-modal attention for local alignment and multilabel prediction for global semantic consistence and ...
Jun 14, 2019 · In this paper, we propose a novel local and global deep matching model to tackle bidirectional image-sentence retrieval.
Key takeaway: 'The proposed local and global deep matching model outperforms state-of-the-art approaches in bidirectional image-sentence retrieval on ...
Bibliographic details on Bidirectional image-sentence retrieval by local and global deep matching.
Aug 29, 2015 · In this paper, we propose multimodal convolutional neu- ral networks (m-CNNs) for matching image and sentence.
Dec 8, 2014 · In this paper, we propose a novel local and global deep matching model to tackle bidirectional image-sentence retrieval. Our proposed matching ...
Bidirectional image-sentence retrieval by local and global deep matching · Lin ... bidirectional retrieval of images and sentences through a deep, multi-modal ...
Yan Huang, Qi Wu, Liang Wang. [paper]. (NC2019_MDM) Bidirectional image-sentence retrieval by local and global deep matching. Lin Ma, Wenhao Jiang, Zequn Jie, ...
