Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization
By Xiu-Shen Wei, Chen-Wei Xie, Jianxin Wu, Chunhua Shen. 2018
356 citations recorded by the source corpus.
Subfields: Developmental Biology, Ecology, Social Psychology
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Citations in the corpus
- See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification (2019, methodology): “Compared with other part localization model [38, 30], our model can be more easily to locate a large number of object’s parts (more than 10) so as to achieve better performance.”
- Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition (2019, background): “224 × 224) is widely adopted [5, 33, 40] and it can significantly improve the performance [5].”
- GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism (2018, unknown): “2∗ [32]”