Dense Image Captioning Based on Precise Feature Extraction

Image captioning is a challenging problem in computer vision, which has numerous practical applications. Recently, the method of dense image captioning has emerged, which realizes the full understanding of the image by localizing and describing multiple salient regions covering the image. Despite there are state-of-the-art approaches encouraging progress, the ability to position and to describe the target area correspondingly is not enough as we expect. To alleviate this challenge, a precise feature extraction method (PFE) is proposed in this paper to further enhance the effect of dense image captioning. Our model is evaluated on the Visual Genome dataset. It demonstrated that our method is better than other state-of-the-art methods.