Browse State-of-the-Art › Co-Salient Object Detection
Co-Salient Object Detection
22 papers with code · 4 benchmarks · 2 datasets archive 2025-07-28
Co-Salient Object Detection is a computational problem that aims at highlighting the common and salient foreground regions (or objects) in an image group. Please also refer to the online benchmark: http://dpfan.net/cosod3k/
( Image credit: Taking a Deeper Look at Co-Salient Object Detection, CVPR2020 )
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
4 leaderboard tables shown for this task, 4 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.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| CoCA (10 rows) | GCoNet+ | GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector | code | — | Compare |
| CoSal2015 (10 rows) | DMT | Discriminative Co-Saliency and Background Mining Transformer for... | code | — | Compare |
| CoSOD3k (10 rows) | GCoNet+ | GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector | code | — | Compare |
| iCoSeg (2 rows) | UFO | A Unified Transformer Framework for Group-based Segmentation:... | code | Syntology ran 0 of 13 samples · 13 unverified | Compare |
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
2 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
22 shown of 22 papers with code (44 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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1 Oct 2019 7 repositories listedIn the second step, we integrate the local edge information and global location information to obtain the salient edge features.
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30 May 2022 3 repositories listedIn this paper, we present a novel end-to-end group collaborative learning network, termed GCoNet+, which can effectively and efficiently (250 fps) identify co-salient objects in natural scenes.
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28 Feb 2023 2 repositories listed Syntology ran 2 of 7 samples · 5 unverifiedTo learn better group consensus, we propose the Group Consensus Aggregation Module (GCAM) to abstract the common features of each image group; meanwhile, to make the consensus representation more discriminative, we…
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19 Apr 2022 2 repositories listedIn this paper, we propose a global-and-local collaborative learning architecture, which includes a global correspondence modeling (GCM) and a local correspondence modeling (LCM) to capture comprehensive inter-image…
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7 Jul 2020 2 repositories listedCoSOD is an emerging and rapidly growing extension of salient object detection (SOD), which aims to detect the co-occurring salient objects in a group of images.
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19 Apr 2025 1 repository listedOur VCP aims to induce the frozen foundation model to perform better on CoSOD tasks by formulating task-specific visual consensus prompts with minimized tunable parameters.
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17 Mar 2024 1 repository listedExtensive experiments on three CoSOD benchmark datasets show that our self-supervised model outperforms the corresponding state-of-the-art models by a huge margin (e.
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16 Oct 2023 1 repository listedTo simultaneously consider the uncertainty introduced by irrelevant images and the consensus features of the remaining relevant images in the group, we designed a latent variable generator branch and CoSOD transformer…
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11 Sep 2023 1 repository listedDespite recent advancements in deep learning models, these models still rely on training with well-annotated CoSOD datasets.
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21 May 2023 1 repository listedTo overcome this limitation, we propose a more realistic and general setting, named Group-wise Referring Expression Segmentation (GRES), which expands RES to a collection of related images, allowing the described…
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30 Apr 2023 1 repository listedThen, we use two types of pre-defined tokens to mine co-saliency and background information via our proposed contrast-induced pixel-to-token correlation and co-saliency token-to-token correlation modules.
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14 Mar 2023 1 repository listedSuch irrelevant information in the co-representation interferes with its locating of co-salient objects.
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11 Mar 2022 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)To achieve this, we design a democratic prototype generation module to generate democratic response maps, covering sufficient co-salient regions and thereby involving more shared attributes of co-salient objects.
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9 Mar 2022 1 repository listed Syntology ran 0 of 13 samples · 13 unverifiedBesides, they fail to take full advantage of the cues among inter- and intra-feature within a group of images.
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1 Oct 2021 1 repository listed Syntology ran 5 of 10 samples · 5 unverified · 10 pointer-only (licence)In this paper, we propose a novel consensus-aware dynamic convolution model to explicitly and effectively perform the "summarize and search" process.
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15 Mar 2021 1 repository listedWe present a novel group collaborative learning framework (GCoNet) capable of detecting co-salient objects in real time (16ms), by simultaneously mining consensus representations at group level based on the two…
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10 Nov 2020 1 repository listedIn the first stage, we propose a group-attentional semantic aggregation module that models inter-image relationships to generate the group-wise semantic representations.
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19 Sep 2020 1 repository listed Syntology ran 0 of 1 samples · 1 unverifiedIn this paper, we address this problem from the perspective of adversarial attacks and identify a novel task: adversarial co-saliency attack.
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1 Jun 2020 1 repository listedCo-salient object detection (CoSOD) is a newly emerging and rapidly growing branch of salient object detection (SOD), which aims to detect the co-occurring salient objects in multiple images.
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28 Apr 2020 1 repository listedCo-saliency detection (Co-SOD) aims to segment the common salient foreground in a group of relevant images.
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13 Mar 2020 1 repository listedSecond, we develop an attention graph clustering algorithm to discriminate the common objects from all the salient foreground objects in an unsupervised fashion.
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1 Jun 2019 1 repository listedWe solve this task by dividing it into two sub-tasks, co-peak search and instance mask segmentation.
Syntology lines on 5 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.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections