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Adversarial Transformations for Semi-Supervised Learning
We propose a Regularization framework based on Adversarial Transformatio...
11/13/2019 ∙ by Teppei Suzuki, et al. ∙
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Breaking Inter-Layer Co-Adaptation by Classifier Anonymization
This study addresses an issue of co-adaptation between a feature extract...
06/04/2019 ∙ by Ikuro Sato, et al. ∙
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Towards Human-Friendly Referring Expression Generation
This paper addresses the generation of referring expressions that not on...
11/29/2018 ∙ by Mikihiro Tanaka, et al. ∙
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Canonical and Compact Point Cloud Representation for Shape Classification
We present a novel compact point cloud representation that is inherently...
09/13/2018 ∙ by Kent Fujiwara, et al. ∙
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Binary-decomposed DCNN for accelerating computation and compressing model without retraining
Recent trends show recognition accuracy increasing even more profoundly....
09/14/2017 ∙ by Ryuji Kamiya, et al. ∙
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Pairwise Rotation Hashing for High-dimensional Features
Binary Hashing is widely used for effective approximate nearest neighbor...
01/29/2015 ∙ by Kohta Ishikawa, et al. ∙
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