Deep Level Sets for Salient Object Detection
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Cites background from "Deep Level Sets for Salient Object ..."
...[18] proposed to learn a Level Set [48] function to output accurate boundaries and compact saliency....
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Cites methods from "Deep Level Sets for Salient Object ..."
...We compare the proposed PAGE-Net against 19 recent deep learning based alternatives: MDF [21], LEGS [34], DS [24], DCL [22], ELD [20], MC [57], RFCN [36], DHS [26], HEDS [14], KSR [38], NLDF [29], DLS [15], AMU [54], UCF [55], SRM [37], FSN [8], PAGR [56], RAS [7] and C2S [23]. we use either the implementations with the recommended parameter settings or the saliency maps shared by the authors....
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...7 shows a visual comparison of the results of our method against those of five other top- Method LEGS [34] MDF [21] DS [24] DCL [22] ELD [20] Time(s) 1.54 7.83 0.13 0.39 0.55 Method RFCN [36] DHS [26] HEDS [14] KSR [38] NLDF [29] Time(s) 4.65 0.04 0.57 49.64 0.09 Method DLS [15] AMU [54] UCF [55] SRM [37] PAGE-Net Time(s) 0.08 0.07 0.04 0.07 0.04 Table 2: Runtime comparison (GPU time) with previous deep learning based saliency models....
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...We compare the proposed PAGE-Net against 19 recent deep learning based alternatives: MDF [21], LEGS [34], DS [24], DCL [22], ELD [20], MC [57], RFCN [36], DHS [26], HEDS [14], KSR [38], NLDF [29], DLS [15], AMU [54], UCF [55], SRM [37], FSN [8], PAGR [56], RAS [7] and C2S [23]....
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...Method DLS [15] AMU [54] UCF [55] SRM [37] PAGE-Net...
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...For example, some methods integrate deep learning models with hand-crafted features [20], heuristic saliency priors [36], level set [15], contextual information [57], or explicit visual fixation [40]....
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448 citations
Cites background or methods from "Deep Level Sets for Salient Object ..."
...We compare the proposed method with 10 state-of-the-art ones, including 9 recent CNN-based approaches, DCL+ [22], DHS [26], SSD [16], RFCN [39], DLS [10], NLDF [30], DSS and DSS+ [8], Amulet [45], UCF [46], and one conventional top approach, DRFI [13], where symbol “+” indicates that the network includes CRF-based post-processing....
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...We compare the proposed method with 10 state-of-the-art ones, including 9 recent CNN-based approaches, DCL [8], DHS [44], SSD [45], RFCN [9], DLS [23], NLDF [10], DSS and DSS [11], Amulet [13], UCF [14], and one conventional top approach, DRFI [42], where symbol “+” indicates that the network includes CRF-based post-processing....
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...Recently, dilated convolution [23] and dense connections [17] are further incorporated to obtain high resolution saliency map....
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...[23] entended a superpixel-based guided filter to be a layer in the network for boundary refinement....
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..., superpixel-based filter [23], fully connected conditional random field (CRF) [8,11,24]....
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References
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"Deep Level Sets for Salient Object ..." refers methods in this paper
...We use Adam [23] with an initial learning rate of 1e-4 to update the weights....
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