WebMay 13, 2024 · Visual question answering (VQA) is a challenging task that has received increasing attention from computer vision, natural language processing and all other AI …
Grounded Questions and Answers Q & A GradeSaver
WebNov 28, 2024 · Given an image and a question in natural language, the task is to answer the question by understanding cues from both the question and the image. Tackling the VQA problem requires a variety of scene understanding capabilities such as object and activity recognition, enumerating objects, knowledge-based reasoning, fine-grained … WebAnswer to Solved Grounded theory is called that because the _____ is the negro in the american rebellion
cohere-ai/sandbox-grounded-qa - Github
WebThe task of visual question answering (Antol et al. 2015; Wu et al. 2024) has gained significant popularity over the past few years in both the computer vision and natural lan-guage processing communities. Grounded question answer-ing in images (Zhu et al. 2016) is a new type of visual ques-tion answering task in which answers to textual … WebAnswering questions that involve multi-step reasoning requires decomposing them and using the answers of intermediate steps to reach the final answer. However, state-of-the-art models in grounded question an-swering often do not explicitly perform de-composition, leading to difficulties in gen-eralization to out-of-distribution examples. Webquestion types. Empirical results show im-provement over the QA baselines in top-kan-swer prediction accuracy in the proposed task. The proposed model also generates a graph walk path and attention vectors for each pre-dicted answer, providing a natural way to ex-plain its QA reasoning. 1 Introduction The task of question and answering (QA) has ... michael swearingen artist