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School of Computer Science and Technology, Soochow University
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MambaCount achieves state-of-the-art object counting accuracy with linear complexity, challenging the dominance of Transformer-based methods in dense visual environments.
TabEmbed leapfrogs existing text embedding models to achieve SOTA performance on tabular data by reformulating tasks as semantic matching problems and using contrastive learning.
