Fusing stereo vision features with text prompts that include object class and approximate volume via a projection layer improves volume regression over vision-only baselines on public datasets.
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Pith papers citing it
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
DietDelta uses vision-language prompts on paired before-and-after RGB images to localize food items, estimate their weights, and compute consumption differences, reporting better results than prior single-image methods on three public datasets.
citing papers explorer
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Not Your Stereo-Typical Estimator: Combining Vision and Language for Volume Perception
Fusing stereo vision features with text prompts that include object class and approximate volume via a projection layer improves volume regression over vision-only baselines on public datasets.
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DietDelta: A Vision-Language Approach for Dietary Assessment via Before-and-After Images
DietDelta uses vision-language prompts on paired before-and-after RGB images to localize food items, estimate their weights, and compute consumption differences, reporting better results than prior single-image methods on three public datasets.