Skip to main content
Fig. 3 | Visual Computing for Industry, Biomedicine, and Art

Fig. 3

From: Dual modality prompt learning for visual question-grounded answering in robotic surgery

Fig. 3

Qualitative robustness experiments on the EndoVis-18 dataset. Experiments were conducted on 15 types of image corruption at level 2 of image degradation to visualize the answers predicted by the models and the associated bounding boxes. The 15 types of image corruption included Gaussian, shot, and impulse noise; defocus, glass, motion, and zoom blur; snow, frost, fog, brightness, contrast, elastic transform, pixelate, and jpeg compression

Back to article page