Recently, open-vocabulary learning has emerged to accomplish segmentation for arbitrary
categories of text-based descriptions, which popularizes the segmentation system to more …

Image captioning is a pretty modern area of the convergence of computer vision and natural
language processing and is widely used in a range of applications such as multi-modal …

The paradigm of large-scale pre-training followed by downstream fine-tuning has been
widely employed in various object detection algorithms. In this paper, we reveal …

Automated radiographic report generation is challenging in at least two aspects. First,
medical images are very similar to each other and the visual differences of clinic importance …

Image captioning means generate descriptive sentences from a query image automatically.
It has recently received widespread attention from the computer vision and natural language …

Despite considerable progress, image captioning still suffers from the huge difference in
quality between easy and hard examples, which is left unexploited in existing methods. To …

Hyperspectral image (HSI) clustering has been widely used in the field of remote sensing.
However, most traditional clustering algorithms are not suitable for dealing with large-scale …

Automatic caption generation with attention mechanisms aims at generating more
descriptive captions containing coarser to finer semantic contents in the image. In this work …

Image captioning aims at automatically describing the main content of an image with a
complete and natural sentence. Existing attention-based methods often focus on visual …

Image captioning is a difficult problem for machine learning algorithms to compress huge
amounts of images into descriptive languages. The recurrent models are popularly used as …