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Found 4 papers, 3 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.
DialMAT: Dialogue-Enabled Transformer with Moment-Based Adversarial Training
This paper focuses on the DialFRED task, which is the task of embodied instruction following in a setting where an agent can actively ask questions about the task.
JaSPICE: Automatic Evaluation Metric Using Predicate-Argument Structures for Image Captioning Models
Image captioning studies heavily rely on automatic evaluation metrics such as BLEU and METEOR.
Multimodal Diffusion Segmentation Model for Object Segmentation from Manipulation Instructions
In this study, we aim to develop a model that comprehends a natural language instruction (e. g., "Go to the living room and get the nearest pillow to the radio art on the wall") and generates a segmentation mask for the target everyday object.
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