Apr 25, 2024 · We propose a novel repeller-attractor loss that falls in the metric learning paradigm, yet directly optimizes for the metric without the need of generating ...
Jun 1, 2023 · The second loss component regulates the anchors and forces them to be separable by a margin, while the third objective ensures that the anchors ...
May 7, 2024 · We propose a novel repeller-attractor loss that falls in the metric learning paradigm, yet directly optimizes for the L 2 metric without the need of generating ...
Abstract: Loss functions play a major role in influencing the effectiveness of neural networks in content-based image retrieval (CBIR).
To solve this problem, a new model is devised for image retrieval based on image captions. The goal is to generate textual illustrations with captions to define ...
To this end, we introduce a novel repeller-attractor loss based on metric learning, which directly optimizes the. L. 2. metric, without pair generation.
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Class Anchor Margin Loss for Content-Based Image Retrieval
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Jun 4, 2023 · The second loss component regulates the anchors and forces them to be separable by a margin, while the third objective ensures that the anchors ...
May 5, 2024 · Alexandru Ghita, Radu Tudor Ionescu: A New Loss for Image Retrieval: Class Anchor Margin. PAKDD (2) 2024: 43-54; 2023.
May 12, 2022 · This paper proposes a new loss called the CAC (Class anchor clustering) loss tailored to open-set recognition problems.
Class Anchor Margin Loss for Content-Based Image Retrieval. no code yet • 1 Jun 2023. The performance of neural networks in content-based image retrieval ...