WebFeb 24, 2024 · Adversarial examples are hard to defend against because it is difficult to construct a theoretical model of the adversarial example crafting process. Adversarial … WebThis paper a new cross-modal correlation learning with adversarial samples. However, this paper still suffers from the following problem: 1. The proposed method aims to learn the …

Augmented Adversarial Training for Cross-Modal Retrieval

WebCross-Modal Interaction Similarity Measurement Commonsense Learning Adversarial Learning Loss Function Task-oriented Works Un-Supervised or Semi-Supervised Zero-Shot or Fewer-Shot Identification Learning Scene-Text Learning Related Works Posted in Algorithm-oriented Works *Vision-Language Pretraining* WebWith the rapid growth of multimodal data (e.g., image, video, audio, depth, IR, text, sketch, synthetic, etc.), cross-modal learning, which aims to develop techniques that can process and relate information across different modalities, has drawn increasing attention recently. blue shield diabetes medication

Cross-Modal Learning with Adversarial Samples - NeurIPS

WebJan 27, 2024 · Cross-modal retrieval aims to search samples of one modality via queries of other modalities, which is a hot issue in the community of multimedia. However, two main challenges, i.e., heterogeneity gap and semantic interaction across different modalities, have not been solved efficaciously. Reducing the heterogeneous gap can improve the cross … WebJul 23, 2024 · In this paper, we propose a robust cross-modal retrieval method (RoCMR), which generates adversarial examples for both the query modality and candidate … WebMar 15, 2024 · A cross-modal deep metric learning model for disease diagnosis based on chest x-ray images Yufei Jin, Huijuan Lu, Zhao Li & Yanbin Wang Multimedia Tools and Applications ( 2024) Cite this article Metrics Abstract The emergence of unknown diseases is often with few or no samples available. blue shield doctors near me