Deep Learning-Based Imagery Style Evaluation for Cross-Category Industrial Product Forms
The evaluation of imagery style in industrial product design is inherently subjective, making it difficult for designers to accurately capture user preferences. This ambiguity often results in suboptimal market positioning and design decisions. Existing methods, primarily limited to single product c...
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| Main Authors: | Jianmin Zhang, Yuliang Li, Mingxing Zhou, Sixuan Chu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/11/6061 |
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