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Weijian image retrieval

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weijian deng

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Weijian image retrieval

  1. 1. Analyzing Embeddings for Image Retrieval  Faster-RCNN (COCO)  Faster-RCNN (OpenImagesV4)  Mask-RCNN (COCO) instance segmentation  ResNet50 (ImageNet)
  2. 2. Analyzing Embeddings for Image Retrieval
  3. 3. Analyzing Embeddings for Image Retrieval PCA Pooling
  4. 4. Can Object Detection Help Image Retrieval?
  5. 5. Eight bboxs per image object-level embeddings
  6. 6. Efficient Image Retrieval using Object Embeddings
  7. 7. Student-teacher training paradigm (Knowledge distillation)
  8. 8. • Teacher network: Classification model Student-teacher training paradigm (Knowledge distillation) • Object detection model Student network Transforms the feature map from the object detection model to the teacher model
  9. 9. Student-teacher training paradigm (Knowledge distillation)
  10. 10. Student-teacher training paradigm (Knowledge distillation)
  11. 11. Near-Duplicate Object Retrieval
  12. 12. THANKS

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