FSDN-DETR: Enhancing Fuzzy Systems Adapter with DeNoising Anchor Boxes for Transfer Learning in Small Object Detection

FSDN-DETR: Enhancing Fuzzy Systems Adapter with DeNoising Anchor Boxes for Transfer Learning in Small Object Detection

The advancement of Transformer models in computer vision has rapidly spurred numerous Transformer-based object detection approaches, such as DEtection TRansformer. Although DETR’s self-attention mechanism effectively captures the global context, it struggles with fine-grained detail detection, limit...

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Bibliographic Details
Main Authors: Zhijie Li, Jiahui Zhang, Yingjie Zhang, Dawei Yan, Xing Zhang, Marcin Woźniak, Wei Dong
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Mathematics
Subjects:
object detection
transformer
transfer learning
DEtection TRansformer
fuzzy system
adapter
Online Access:https://www.mdpi.com/2227-7390/13/2/287
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