6 citations · 9 across the 5 of their papers we have counts for
5 papers
Semantic-Consistent Bidirectional Contrastive Hashing for Noisy Multi-Label Cross-Modal Retrieval
Likang Peng, Chao Su, Wenyuan Wu +4
Cross-modal hashing (CMH) facilitates efficient retrieval across different modalities (e.g., image and text) by encoding data into compact binary representations. While recent meth…
Information-Geometric Inverse Distillation for Enhancing Adversarial Transferability
Wenyuan Wu, Zheng Liu, Yuan Sun +6
Transfer-based adversarial attacks rely on surrogate models to craft perturbations, yet often overfit the surrogate's decision boundary. To address this problem, we propose Inverse…
Research on Named Entity Recognition in Improved transformer with R-Drop structure
Weidong Ji, Yousheng Zhang, Guohui Zhou +1
To enhance the generalization ability of the model and improve the effectiveness of the transformer for named entity recognition tasks, the XLNet-Transformer-R model is proposed in…
Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval
Xu Wang, Dezhong Peng, Ming Yan +1
Cross-domain image retrieval aims at retrieving images across different domains to excavate cross-domain classificatory or correspondence relationships. This paper studies a less-t…
Adaptive Meta-learner via Gradient Similarity for Few-shot Text Classification
Tianyi Lei, Honghui Hu, Qiaoyang Luo +2
Few-shot text classification aims to classify the text under the few-shot scenario. Most of the previous methods adopt optimization-based meta learning to obtain task distribution.…