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Weijian image retrieval

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哲东 郑

weijian deng

Technology
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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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