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GRIT: Faster and Better Image captioning Transformer Using Dual Visual Features. (arXiv:2207.09666v1 [cs.CV])
July 21, 2022, 1:11 a.m. | Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani
cs.CL updates on arXiv.org arxiv.org
Current state-of-the-art methods for image captioning employ region-based
features, as they provide object-level information that is essential to
describe the content of images; they are usually extracted by an object
detector such as Faster R-CNN. However, they have several issues, such as lack
of contextual information, the risk of inaccurate detection, and the high
computational cost. The first two could be resolved by additionally using
grid-based features. However, how to extract and fuse these two types of
features is uncharted. …
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