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Found 4 papers, 2 papers with code
Trusta: Reasoning about Assurance Cases with Formal Methods and Large Language Models
To our knowledge, this marks the first integration of large language models in automatic creating and reasoning about assurance cases, bringing a novel approach to a traditional challenge.
ResMatch: Residual Attention Learning for Local Feature Matching
In order to facilitate the learning of matching and filtering, we inject the similarity of descriptors and relative positions into cross- and self-attention score, respectively.
ReDFeat: Recoupling Detection and Description for Multimodal Feature Learning
Deep-learning-based local feature extraction algorithms that combine detection and description have made significant progress in visible image matching.
SDGMNet: Statistic-based Dynamic Gradient Modulation for Local Descriptor Learning
Modifications on triplet loss that rescale the back-propagated gradients of special pairs have made significant progress on local descriptor learning.
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