From plane to hierarchy: Deformable Transformer for Remote Sensing Image Captioning

Stack-Captioning: Coarse-to-Fine Learning for Image Captioning

The existing image captioning approaches typically train a one-stage sentence decoder, which is difficult to generate rich fine-grained descriptions. On the other hand, multi-stage image caption model is hard to train due to the vanishing gradient problem. In this paper, we propose a coarse-to-fine multistage prediction framework for image captioning, composed of multiple decoders each of which...

Remote Sensing: From Image Processing to Spatio-temporal Processing

This paper gives a brief survey of remote sensing techniques from a viewpoint of pattern recongition and media understanding (PRMU). First we give a brief summary of remote sensing, and then introduce related work on both remote sensing image processing and some unique issues in remote sensing image processing. We moreover point out that the future direction of remote sensing is expected to be ...

Remote Sensing Image Processing

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Remote Sensing Image Classification

Learning to Guide Decoding for Image Captioning

Recently, much advance has been made in image captioning, and an encoder-decoder framework has achieved outstanding performance for this task. In this paper, we propose an extension of the encoder-decoder framework by adding a component called guiding network. The guiding network models the attribute properties of input images, and its output is leveraged to compose the input of the decoder at ...