A weight-normalization based causal classifier for long-tailed classification
The success of deep learning techniques in computer vision is largely supported by the availability of large-scale datasets. However, it is difficult to maintain a balanced dataset as the dataset size grows because a few head classes will appear much more frequently compared to a large number of tai...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/148160 |