Mar 7, 2016 · DLRP learns saliency-aware feature transformations by utilizing available supervision information and constructs discriminative bases for ...
In this paper, we consider a specific saliency detection problem of predicting human eye fixations when they freely view natural images, and propose a novel ...
This paper considers a specific saliency detection problem of predicting human eye fixations when they freely view natural images, and proposes a novel dual ...
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In this paper, we address the problem of fusing various saliency detection methods such that the fusion result outperforms each of the individual methods.
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May 8, 2020 · This paper proposes a deep multiscale fusion method via low-rank sparse decomposition for object saliency detection in optical remote sensing images.
Mar 28, 2019 · Dual low-rank pursuit [18] decomposes the image into a low-rank and a sparse part. This method uses the low-rank and sparse measures to ...
Feb 1, 2020 · In this paper, we introduce a novel and efficient LRMR-based saliency detection model under a coarse-to-fine framework to circumvent this limitation.
Mar 28, 2019 · Dual low- rank pursuit: Learning salient features for saliency detection. IEEE TNNLS, 27(6):1190–1200, 2016. 2. [27] G. Lee, Y.-W. Tai, and J ...
Dual Low-Rank Pursuit: Learning Salient Features for Saliency Detection. Authors. Congyan Lang · Jiashi Feng · Songhe Feng · Jingdong Wang · Shuicheng Yan ...
Aug 12, 2017 · This paper addresses the problem of fusing various saliency detection methods such that the fusion result outperforms each of the individual ...