Abstract: Hashing techniques have been extensively studied in cross-modal retrieval due to their advantages in high computational efficiency and low storage cost. However, existing methods ...
Abstract: Driven by the high nonlinearity of deep neural networks, deep hashing has achieved the pictured great potential in cross-modal retrieval applications, significantly bridging the modality gap ...
💥 Flash Linear Attention brings together hardware-efficient building blocks, training-ready layers, and components for modern sequence models, spanning linear attention, sparse attention, state space ...
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