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Analyzing Embeddings for Image Retrieval
 Faster-RCNN (COCO)
 Faster-RCNN (OpenImagesV4)
 Mask-RCNN (COCO) instance seg...
Analyzing Embeddings for Image Retrieval
Analyzing Embeddings for Image Retrieval
PCA Pooling
Can Object Detection Help Image Retrieval?
Eight bboxs per image object-level embeddings
Efficient Image Retrieval using Object Embeddings
Student-teacher training paradigm (Knowledge distillation)
• Teacher network:
Classification model
Student-teacher training paradigm (Knowledge distillation)
• Object detection mode...
Student-teacher training paradigm (Knowledge distillation)
Student-teacher training paradigm (Knowledge distillation)
Near-Duplicate Object Retrieval
THANKS
Weijian image retrieval
Weijian image retrieval
Weijian image retrieval
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Weijian image retrieval

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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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