Bottom up saliency evaluation via deep features of state-of-the-art convolutional neural networks - researchr publication

researchr

You are not signed in
Sign in
Sign up

Ali Mahdi, Jun Qin. Bottom up saliency evaluation via deep features of state-of-the-art convolutional neural networks. In 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, BHI 2018, Las Vegas, NV, USA, March 4-7, 2018. pages 247-250, IEEE, 2018. [doi]

Abstract is missing.

runs on WebDSL