Image co-saliency detection via locally adaptive saliency map fusion

Abstract

Co-saliency detection aims at discovering the common and salient objects in multiple images. It explores not only intra-image but extra inter-image visual cues, and hence compensates the shortages in single-image saliency detection. The performance of co-saliency detection substantially relies on the explored visual cues. However, the optimal cues typically… (More)
DOI: 10.1109/ICASSP.2017.7952486

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@article{Tsai2017ImageCD, title={Image co-saliency detection via locally adaptive saliency map fusion}, author={Chung-Chi Tsai and Xiaoning Qian and Yen-Yu Lin}, journal={2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, year={2017}, pages={1897-1901} }