Gather-excite: Exploiting feature context in convolutional neural networks
While the use of bottom-up local operators in convolutional neural networks (CNNs) matches well some of the statistics of natural images, it may also prevent such models from capturing contextual long-range feature interactions. In this work, we propose a simple, lightweight approach for better cont...
| Главные авторы: | , , , , |
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| Формат: | Conference item |
| Опубликовано: |
Neural Information Processing Systems (NIPS) Foundation
2018
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