Browse State-of-the-Art › Saliency Detection
Saliency Detection
137 papers with code · 7 benchmarks · 15 datasets archive 2025-07-28
Saliency Detection is a preprocessing step in computer vision which aims at finding salient objects in an image.
Source: An Unsupervised Game-Theoretic Approach to Saliency Detection
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
7 leaderboard tables shown for this task, 7 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
15 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
4 subtasks in the archive's task tree.
Most implemented papers archive 2025-07-28
30 shown of 137 papers with code (364 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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18 May 2020 29 repositories listed Syntology ran 4 of 42 samples · 38 unverified · 2 pointer-only (licence)In this paper, we design a simple yet powerful deep network architecture, U²-Net, for salient object detection (SOD).
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1 Mar 2019 6 repositories listed Syntology ran 2 of 10 samples · 8 unverifiedTo solve this problem, we propose Pyramid Feature Attention network to focus on effective high-level context features and low-level spatial structural features.
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8 Oct 2018 5 repositories listedWe find that reliance, solely, on visual assessment can be misleading.
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22 Jun 2021 4 repositories listedA popular solution to this problem is to use a single pooling operation to reduce the sequence length.
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1 Dec 2020 4 repositories listedIntra-saliency and inter-saliency cues have been extensively studied for co-saliency detection (Co-SOD).
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7 Sep 2020 4 repositories listedOur framework includes two main models: 1) a generator model, which maps the input image and latent variable to stochastic saliency prediction, and 2) an inference model, which gradually updates the latent variable by…
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22 May 2017 4 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)In this work we develop a fast saliency detection method that can be applied to any differentiable image classifier.
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15 Nov 2016 4 repositories listed Syntology ran 0 of 3 samples · 3 unverifiedRecent progress on saliency detection is substantial, benefiting mostly from the explosive development of Convolutional Neural Networks (CNNs).
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7 Sep 2022 3 repositories listedIn this paper, we focus on a new weakly-supervised SOD task under hybrid labels, where the supervision labels include a large number of coarse labels generated by the traditional unsupervised method and a small number…
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18 Aug 2021 3 repositories listed Syntology ran 8 of 14 samples · 6 unverified · 14 pointer-only (licence)To effectively fuse cross-modal features in the shared learning network, we propose a cross-enhanced integration module (CIM) and then propagate the fused feature to the next layer for integrating cross-level…
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29 Nov 2019 3 repositories listedBeneficial from Fully Convolutional Neural Networks (FCNs), saliency detection methods have achieved promising results.
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10 Jun 2019 3 repositories listed Syntology ran 0 of 3 samples · 3 unverifiedAt Microsoft, we develop a time-series anomaly detection service which helps customers to monitor the time-series continuously and alert for potential incidents on time.
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28 Sep 2023 2 repositories listedSpecifically, the proposed method, so-called Joint Correcting and Refinement Network (JCRNet), which mainly consists of three stages to balance brightness, color, and illumination of enhancement.
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23 Jun 2023 2 repositories listedWe propose incorporating an analytical image attenuation process into the forward diffusion process for high-quality (un)conditioned image generation with significantly fewer denoising steps compared to the vanilla…
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25 Apr 2021 2 repositories listed Syntology ran 7 of 11 samples · 4 unverified · 11 pointer-only (licence)We also develop a token-based multi-task decoder to simultaneously perform saliency and boundary detection by introducing task-related tokens and a novel patch-task-attention mechanism.
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23 Jul 2020 2 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)The explicitly extracted edge information goes together with saliency to give more emphasis to the salient regions and object boundaries.
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10 Feb 2020 2 repositories listedThe latent spaces of GAN models often have semantically meaningful directions.
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16 Sep 2019 2 repositories listedIn this paper, we develop a multi-task motion guided video salient object detection network, which learns to accomplish two sub-tasks using two sub-networks, one sub-network for salient object detection in still images…
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19 Jun 2019 2 repositories listedLight field imaging presents an attractive alternative to RGB imaging because of the recording of the direction of the incoming light.
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15 Dec 2018 2 repositories listedWe propose three specific formulations of the PiCANet via embedding the pixel-wise contextual attention mechanism into the pooling and convolution operations with attending to global or local contexts.
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29 Jun 2018 2 repositories listed Syntology ran 0 of 5 samples · 5 unverifiedMany works have been done on salient object detection using supervised or unsupervised approaches on colour images.
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23 Mar 2018 2 repositories listedOne is the lack of tremendous amount of annotated data to train a network.
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21 Aug 2017 2 repositories listedWe formulate the proposed PiCANet in both global and local forms to attend to global and local contexts, respectively.
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1 Jul 2017 2 repositories listedSaliency detection aims to highlight the most relevant objects in an image.
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6 Oct 2016 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)Furthermore, the proposed DSCLSTM model can significantly boost the saliency detection performance by incorporating both global spatial interconnections and scene context modulation, which may uncover novel inspirations…
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7 Sep 2016 2 repositories listedThe penultimate layer of our neural network has been confirmed to be a discriminative high-level feature vector for saliency detection, which we call deep contrast feature.
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19 Apr 2016 2 repositories listedRecent advances in saliency detection have utilized deep learning to obtain high level features to detect salient regions in a scene.
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27 May 2015 2 repositories listedFor most natural images, some boundary superpixels serve as the background labels and the saliency of other superpixels are determined by ranking their similarities to the boundary labels based on an inner propagation…
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21 Mar 2025 1 repository listedNews outlets' competition for attention in news interfaces has highlighted the need for demographically-aware saliency prediction models.
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13 Dec 2024 1 repository listedWith increasing revelations of academic fraud, detecting forged experimental images in the biomedical field has become a public concern.
Syntology lines on 10 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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