Image Caption Quality Dataset
Image Caption Quality Dataset is a dataset of crowdsourced ratings for machine-generated image captions. It contains more than 600k ratings of image-caption pairs. Source: https://arxiv.org/abs/1909.03396
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Given a set of candidate models, the goal of Model Selection is to select the model that best approximates the observed data and captures its underlying regularities. Model Selection criteria are defined such that they strike a balance between the goodness of fit, and the generalizability or complexity of the models.
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Image Caption Quality Dataset is a dataset of crowdsourced ratings for machine-generated image captions. It contains more than 600k ratings of image-caption pairs. Source: https://arxiv.org/abs/1909.03396
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.