Presents FoodSense dataset and FoodSense-VL model for predicting multisensory food properties and explanations directly from images.
Qlora: Efficient finetuning of quantized llms
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FlowAdapt achieves state-of-the-art domain adaptation for V2X collaborative perception via optimal transport flow, using Wasserstein greedy sampling and progressive knowledge transfer with only 1% trainable parameters.
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FoodSense: A Multisensory Food Dataset and Benchmark for Predicting Taste, Smell, Texture, and Sound from Images
Presents FoodSense dataset and FoodSense-VL model for predicting multisensory food properties and explanations directly from images.
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Move What Matters: Parameter-Efficient Domain Adaptation via Optimal Transport Flow for Collaborative Perception
FlowAdapt achieves state-of-the-art domain adaptation for V2X collaborative perception via optimal transport flow, using Wasserstein greedy sampling and progressive knowledge transfer with only 1% trainable parameters.