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Weijian image retrieval
1.
2.
Analyzing Embeddings for
Image Retrieval Faster-RCNN (COCO) Faster-RCNN (OpenImagesV4) Mask-RCNN (COCO) instance segmentation ResNet50 (ImageNet)
3.
Analyzing Embeddings for
Image Retrieval
4.
Analyzing Embeddings for
Image Retrieval PCA Pooling
5.
Can Object Detection
Help Image Retrieval?
6.
Eight bboxs per
image object-level embeddings
7.
Efficient Image Retrieval
using Object Embeddings
8.
Student-teacher training paradigm
(Knowledge distillation)
9.
• 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
10.
Student-teacher training paradigm
(Knowledge distillation)
11.
Student-teacher training paradigm
(Knowledge distillation)
12.
13.
14.
Near-Duplicate Object Retrieval
15.
THANKS
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