Browse State-of-the-Art › Dichotomous Image Segmentation
Dichotomous Image Segmentation
26 papers with code · 6 benchmarks · 2 datasets archive 2025-07-28
Currently, existing image segmentation tasks mainly focus on segmenting objects with specific characteristics, e.g., salient, camouflaged, meticulous, or specific categories. Most of them have the same input/output formats, and barely use exclusive mechanisms designed for segmenting targets in their models, which means almost all tasks are dataset-dependent. Thus, it is very promising to formulate a category-agnostic DIS task for accurately segmenting objects with different structure complexities, regardless of their characteristics. Compared with semantic segmentation, the proposed DIS task usually focuses on images with single or a few targets, from which getting richer accurate details of each target is more feasible.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
6 leaderboard tables shown for this task, 6 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 |
|---|---|---|---|---|---|
| DIS-VD (24 rows) | BEN_Base | BEN: Using Confidence-Guided Matting for Dichotomous Image Segmentation | code | — | Compare |
| DIS-TE1 (22 rows) | PDFNet | Patch-Depth Fusion: Dichotomous Image Segmentation via... | code | — | Compare |
| DIS-TE2 (22 rows) | PDFNet | Patch-Depth Fusion: Dichotomous Image Segmentation via... | code | — | Compare |
| DIS-TE3 (22 rows) | PDFNet | Patch-Depth Fusion: Dichotomous Image Segmentation via... | code | — | Compare |
| DIS-TE4 (22 rows) | MVANet | Multi-view Aggregation Network for Dichotomous Image Segmentation | code | Syntology ran 8 of 9 samples · 1 unverified | Compare |
| STARE (1 row) | UNet | U-Net: Convolutional Networks for Biomedical Image Segmentation | code | Syntology ran 510 of 757 samples · 247 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
26 shown of 26 papers with code (28 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 2015 487 repositories listed Syntology ran 510 of 757 samples · 247 unverified · 426 pointer-only (licence)There is large consent that successful training of deep networks requires many thousand annotated training samples.
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17 Jun 2017 77 repositories listed Syntology ran 3 of 7 samples · 4 unverified · 3 pointer-only (licence)To handle the problem of segmenting objects at multiple scales, we design modules which employ atrous convolution in cascade or in parallel to capture multi-scale context by adopting multiple atrous rates.
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6 May 2019 67 repositories listed Syntology ran 58 of 105 samples · 47 unverified · 46 pointer-only (licence)We achieve new state of the art results for mobile classification, detection and segmentation.
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4 Dec 2016 67 repositories listed Syntology ran 7 of 29 samples · 22 unverified · 5 pointer-only (licence)Scene parsing is challenging for unrestricted open vocabulary and diverse scenes.
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20 Aug 2019 42 repositories listed Syntology ran 3 of 34 samples · 31 unverified · 16 pointer-only (licence)High-resolution representations are essential for position-sensitive vision problems, such as human pose estimation, semantic segmentation, and object detection.
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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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2 Aug 2018 21 repositories listed Syntology ran 6 of 18 samples · 12 unverified · 1 pointer-only (licence)Semantic segmentation requires both rich spatial information and sizeable receptive field.
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27 Apr 2017 18 repositories listedWe focus on the challenging task of real-time semantic segmentation in this paper.
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27 Apr 2021 6 repositories listed Syntology ran 8 of 16 samples · 8 unverifiedBiSeNet has been proved to be a popular two-stream network for real-time segmentation.
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26 Nov 2019 4 repositories listedFurthermore, different from binary cross entropy, the proposed PPA loss doesn't treat pixels equally, which can synthesize the local structure information of a pixel to guide the network to focus more on local details.
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20 Sep 2022 3 repositories listed Syntology ran 3 of 11 samples · 8 unverifiedSalient object detection (SOD) has been in the spotlight recently, yet has been studied less for high-resolution (HR) images.
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16 Jul 2020 3 repositories listedWith the help of multilevel gate units, the valuable context information from the encoder can be optimally transmitted to the decoder.
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1 Jun 2019 3 repositories listedIn this paper, we propose a predict-refine architecture, BASNet, and a new hybrid loss for Boundary-Aware Salient object detection.
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2 Mar 2020 2 repositories listed Syntology ran 5 of 13 samples · 8 unverified · 13 pointer-only (licence)Deep convolutional neural networks have achieved competitive performance in salient object detection, in which how to learn effective and comprehensive features plays a critical role.
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8 Mar 2025 1 repository listedDue to the incorporation of the depth integrity-prior, PDFNet achieves or even surpassing the performance of the latest diffusion-based methods while using less than 11% of the parameters of diffusion-based methods.
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8 Jan 2025 1 repository listedAs improvements in image segmentation become increasingly challenging to achieve, combining image matting and grayscale segmentation techniques offers promising new directions for architectural innovation.
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14 Oct 2024 1 repository listed Syntology ran 2 of 4 samples · 2 unverifiedIn the realm of high-resolution (HR), fine-grained image segmentation, the primary challenge is balancing broad contextual awareness with the precision required for detailed object delineation, capturing intricate…
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4 Sep 2024 1 repository listedSegment Anything Model (SAM) has demonstrated powerful zero-shot segmentation performance in natural scenes.
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11 Apr 2024 1 repository listed Syntology ran 8 of 9 samples · 1 unverifiedDichotomous Image Segmentation (DIS) has recently emerged towards high-precision object segmentation from high-resolution natural images.
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7 Jan 2024 1 repository listed Syntology ran 13 of 14 samples · 1 unverifiedIt comprises two essential components: the localization module (LM) and the reconstruction module (RM) with our proposed bilateral reference (BiRef).
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19 Dec 2023 1 repository listed Syntology ran 2 of 2 samples · 0 unverifiedWe propose a model-agnostic solution called SegRefiner, which offers a novel perspective on this problem by interpreting segmentation refinement as a data generation process.
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26 Jul 2023 1 repository listedFirst, a dual-size input feeds into the shared backbone to produce more holistic and detailed features while keeping the model lightweight.
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6 Mar 2022 1 repository listed Syntology ran 9 of 10 samples · 1 unverifiedWe present a systematic study on a new task called dichotomous image segmentation (DIS) , which aims to segment highly accurate objects from natural images.
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21 Apr 2021 1 repository listed Syntology ran 4 of 9 samples · 5 unverified · 9 pointer-only (licence)In this paper, we strive to embrace challenges towards effective and efficient COS.
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20 Feb 2021 1 repository listed Syntology ran 3 of 3 samples · 0 unverifiedWe present the first systematic study on concealed object detection (COD), which aims to identify objects that are "perfectly" embedded in their background.
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21 Dec 2020 1 repository listedWe present a novel, real-time, semantic segmentation network in which the encoder both encodes and generates the parameters (weights) of the decoder.
Syntology lines on 17 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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