Where to Focus: Query Adaptive Matching for Instance Retrieval Using Convolutional Feature Maps

@article{Cao2016WhereTF,
  title={Where to Focus: Query Adaptive Matching for Instance Retrieval Using Convolutional Feature Maps},
  author={Jiewei Cao and Lingqiao Liu and Peng Wang and Zi Xuan Huang and Chunhua Shen and Heng Tao Shen},
  journal={CoRR},
  year={2016},
  volume={abs/1606.06811}
}
Instance retrieval requires one to search for images that contain a particular object within a large corpus. Recent studies show that using image features generated by pooling convolutional layer feature maps (CFMs) of a pretrained convolutional neural network (CNN) leads to promising performance for this task. However, due to the global pooling strategy adopted in those works, the generated image feature is less robust to image clutter and tends to be contaminated by the irrelevant image… CONTINUE READING
Recent Discussions
This paper has been referenced on Twitter 5 times over the past 90 days. VIEW TWEETS

References

Publications referenced by this paper.
Showing 1-10 of 35 references

Similar Papers

Loading similar papers…