Coral classification using densenet and cross-modality transfer learning

Research output: Chapter in Book/Conference paperConference paperpeer-review

4 Citations (Scopus)


Coral classification is a challenging task due to the complex morphology and ambiguous boundaries of corals. This paper investigates the benefits of Densely connected convolutional network (DenseNet) and multi-modal image translation techniques in boosting image classification performance by synthesizing missing fluorescence information. To this end, an imageconditional Generative Adversarial Network (GAN) based image translator is trained to model the relationship between reflectance and fluorescence images. Through this image translator, fluorescence images can be generated from the available reflectance images to provide complementary information. During the classification phase, reflectance and translated fluorescence images are combined to obtain more discriminative representations and produce improved classification performance. We present results on the EFC and MLC datasets and report state-of-the-art coral classification performance. © 2019 IEEE.
Original languageEnglish
Title of host publicationInternational Joint Conference on Neural Networks (IJCNN)
Place of PublicationUSA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages8
ISBN (Electronic)9781728119854
ISBN (Print)978-172811985-4
Publication statusPublished - Jul 2019
EventInternational Joint Conference on Neural Networks - InterContinental Budapest Hotel, Budapest, Hungary
Duration: 14 Jul 201919 Jul 2019


ConferenceInternational Joint Conference on Neural Networks
Abbreviated titleIJCNN 2019
OtherThe 2019 International Joint Conference on Neural Networks (IJCNN) will be held at the InterContinental Budapest Hotel in Budapest, Hungary on July 14-19, 2019. The conference is organized by the International Neural Network Society (INNS) in cooperation with the IEEE Computational Intelligence Society, and is the premier international meeting for researchers and other professionals in neural networks and related areas. It will feature invited plenary talks by world-renowned speakers in the areas of neural network theory and applications, computational neuroscience, robotics, and distrbuted intelligence. In addition to regular technical sessions with oral and poster presentations, the conference program will include special sessions, competitions, tutorials and workshops on topics of current interest.
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