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Analyzing Embeddings for Image Retrieval
 Faster-RCNN (COCO)
 Faster-RCNN (OpenImagesV4)
 Mask-RCNN (COCO) instance segmentation
 ResNet50 (ImageNet)
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 model
Student network
Transforms the
feature map from
the object detection
model to the teacher
model
Student-teacher training paradigm (Knowledge distillation)
Student-teacher training paradigm (Knowledge distillation)
Near-Duplicate Object Retrieval
THANKS

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