Jul 22, 2022 · A recent DIC work proposes to generate distinctive captions by comparing the target image with a set of semantic-similar reference images, i.e., ...
A recent DIC work proposes to generate distinctive captions by comparing the target image with a set of semantic-similar reference images, i.e., reference-based ...
A strong Transformer-based Ref-DIC baseline is developed, dubbed as TransDIC, which outperforms several state-of-the-art models on the two new benchmarks ...
By “totally”, we mean the generated caption is asked to distinguish its corresponding image from all images in the dataset, i.e., dataset-level distinctiveness.
A recent DIC work proposes to generate distinctive captions by comparing the target image with a set of semantic-similar reference images, i.e., reference-based ...
A recent DIC method proposes to generate distinctive captions by comparing the target image with a set of semantic-similar reference images, i. e., reference- ...
Jun 25, 2023 · A recent DIC method proposes to generate distinctive captions by comparing the target image with a set of semantic-similar reference images.
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A recent DIC method proposes to generate distinctive captions by comparing the target image with a set of semantic-similar reference images, i. e., reference- ...
A recent DIC method proposes to generate distinctive captions by comparing the target image with a set of semantic-similar reference images, i.e., reference- ...
This ”many-to-one” phenomenon occurs frequently in datasets, such as the MS COCO dataset, where each image has five distinct sentences associated with it.