Search Results for author:
Found 2 papers, 2 papers with code
Polos: Multimodal Metric Learning from Human Feedback for Image Captioning
Establishing an automatic evaluation metric that closely aligns with human judgments is essential for effectively developing image captioning models.
Text-driven object affordance for guiding grasp-type recognition in multimodal robot teaching
These findings highlight the significance of object affordance in multimodal robot teaching, regardless of whether real objects are present in the images.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
