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Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery.

, , , , and . ECCV (8), volume 11212 of Lecture Notes in Computer Science, page 357-372. Springer, (2018)

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Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery., , , , and . ECCV (8), volume 11212 of Lecture Notes in Computer Science, page 357-372. Springer, (2018)Context-Aware Visual Compatibility Prediction., , and . CVPR, page 12617-12626. Computer Vision Foundation / IEEE, (2019)On the Iterative Refinement of Densely Connected Representation Levels for Semantic Segmentation., , , , and . CVPR Workshops, page 978-987. IEEE Computer Society, (2018)Regularizing CNNs with Locally Constrained Decorrelations., , , , and . ICLR (Poster), OpenReview.net, (2017)Regularizing CNNs with Locally Constrained Decorrelations., , , , and . CoRR, (2016)Graph Attention Networks., , , , , and . CoRR, (2017)Pay attention to the activations: a modular attention mechanism for fine-grained image recognition., , , , , and . CoRR, (2019)Age and gender recognition in the wild with deep attention., , , , and . Pattern Recognition, (2017)Graph Attention Networks., , , , , and . ICLR (Poster), OpenReview.net, (2018)Deep Inference of Personality Traits by Integrating Image and Word Use in Social Networks., , , , , and . CoRR, (2018)