Zhang et al., 2021 - Google Patents
ADA-segment: automated multi-loss adaptation for panoptic segmentationZhang et al., 2021
View PDF- Document ID
- 1029166008655094796
- Author
- Zhang G
- Gao Y
- Xu H
- Zhang H
- Li Z
- Liang X
- Publication year
- Publication venue
- Proceedings of the AAAI Conference on Artificial Intelligence
External Links
Snippet
Panoptic segmentation that unifies instance segmentation and semantic segmentation has recently attracted increasing attention. While most existing methods focus on designing novel architectures, we steer toward a different perspective: performing automated multi-loss …
- 230000011218 segmentation 0 title abstract description 49
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- G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
- G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
- G06N3/0635—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means using analogue means
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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