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.
Language models are few-shot learners.Proceedings Of The 34th International Conference On Neural Information Pro- cessing Systems, 33:1877–1901, 2020
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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.