VISIR: Visual and Semantic Image Label Refinement

@inproceedings{Chowdhury2018VISIRVA,
  title={VISIR: Visual and Semantic Image Label Refinement},
  author={Sreyasi Nag Chowdhury and Niket Tandon and Hakan Ferhatosmanoglu and Gerhard Weikum},
  booktitle={WSDM},
  year={2018}
}
The social media explosion has populated the Internet with a wealth of images. There are two existing paradigms for image retrieval: 1)content-based image retrieval (BIR), which has traditionally used visual features for similarity search (e.g., SIFT features), and 2) tag-based image retrieval (TBIR), which has relied on user tagging (e.g., Flickr tags). CBIR now gains semantic expressiveness by advances in deep-learning-based detection of visual labels. TBIR benefits from query-and-click logs… CONTINUE READING

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