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Korea Advanced Institute of Science and Technology
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SmellNet-V reveals that olfactory identities can be effectively paired with visual data, leading to a 7% improvement in smell classification accuracy.
Forget global alignment – fine-grained, touch-driven material segmentation in diverse, real-world scenes is now possible thanks to dense cross-modal feature interactions.
