Browse State-of-the-Art › Saliency Ranking
Saliency Ranking
9 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
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Datasets archive 2025-07-28
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Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
9 shown of 9 papers with code (15 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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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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21 Jan 2025 1 repository listedBlack-box textual adversarial attacks are challenging due to the lack of model information and the discrete, non-differentiable nature of text.
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13 Aug 2024 1 repository listedWith the ever-growing variety of object detection approaches, this study explores a series of experiments that combine reinforcement learning (RL)-based visual attention methods with saliency ranking techniques to…
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6 Jul 2024 1 repository listed Syntology ran 9 of 13 samples · 4 unverified · 13 pointer-only (licence)Temporal grounding, also known as video moment retrieval, aims at locating video segments corresponding to a given query sentence.
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1 Jan 2024 1 repository listedSaliency ranking detection (SRD) has emerged as a challenging task in computer vision aiming not only to identify salient objects within images but also to rank them based on their degree of saliency.
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6 Dec 2023 1 repository listedTo conquer, this paper proposes a new paradigm for saliency ranking, which aims to completely focus on ranking salient objects by their "importance order".
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1 Aug 2023 1 repository listedThe ranking by partition paradigm alleviates ranking ambiguities in a general sense, as it consistently improves the performance of other saliency ranking models.
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17 Mar 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverifiedWe observe that spatial attention works concurrently with object-based attention in the human visual recognition system.
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1 Jun 2020 1 repository listedFollowing psychological studies, in this paper, we propose to predict the saliency rank by inferring human attention shift.
Syntology lines on 2 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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