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Single-Shot Object Detection with Enriched Semantics

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Detection incorporating Enhanced Semantic Features for Object Detection and consisting of three components

  1. one-shot detection model and ssd architecture,
  2. a segmentation module designed to enhance semantic details at the low-level detection stage
  3. The segmentation module is utilized to improve the semantic depth of the low-level feature maps obtained from object detectors.
  4. The segmentation mechanism is employed to enhance the semantic depth of the low-level feature maps obtained from object detectors.

The global activation module enhances semantics in higher-order detection layers. The global activation module uncovers the semantic connections between detection feature channels and object classes in generating higher-level object detection features.

Results:小模型上提升比较明显

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