paper-with-me

Dichotomous Image Segmentation 벤치마크

Dichotomous Image Segmentation on DIS-TE2

132개 결과 · ⬇ CSV · JSON

max F-Measure

0.673 0.735 0.797 0.859 0.921 2015-05 2026-09 UNet — 0.703 (2015-05-18) UNet — 0.703 (2015-05-18) UNet — 0.703 (2015-05-18) UNet — 0.703 (2015-05-18) UNet — 0.703 (2015-05-18) UNet — 0.703 (2015-05-18) PSPNet — 0.724 (2016-12-04) PSPNet — 0.724 (2016-12-04) PSPNet — 0.724 (2016-12-04) PSPNet — 0.724 (2016-12-04) PSPNet — 0.724 (2016-12-04) PSPNet — 0.724 (2016-12-04) ICNet — 0.716 (2017-04-27) ICNet — 0.716 (2017-04-27) ICNet — 0.716 (2017-04-27) ICNet — 0.716 (2017-04-27) ICNet — 0.716 (2017-04-27) ICNet — 0.716 (2017-04-27) DeeplabV3+ — 0.681 (2017-06-17) DeeplabV3+ — 0.681 (2017-06-17) DeeplabV3+ — 0.681 (2017-06-17) DeeplabV3+ — 0.681 (2017-06-17) DeeplabV3+ — 0.681 (2017-06-17) DeeplabV3+ — 0.681 (2017-06-17) BSV1 — 0.68 (2018-08-02) BSV1 — 0.68 (2018-08-02) BSV1 — 0.68 (2018-08-02) BSV1 — 0.68 (2018-08-02) BSV1 — 0.68 (2018-08-02) BSV1 — 0.68 (2018-08-02) MBV3 — 0.743 (2019-05-06) MBV3 — 0.743 (2019-05-06) MBV3 — 0.743 (2019-05-06) MBV3 — 0.743 (2019-05-06) MBV3 — 0.743 (2019-05-06) MBV3 — 0.743 (2019-05-06) BASNet — 0.755 (2019-06-01) BASNet — 0.755 (2019-06-01) BASNet — 0.755 (2019-06-01) BASNet — 0.755 (2019-06-01) BASNet — 0.755 (2019-06-01) BASNet — 0.755 (2019-06-01) HRNet — 0.747 (2019-08-20) HRNet — 0.747 (2019-08-20) HRNet — 0.747 (2019-08-20) HRNet — 0.747 (2019-08-20) HRNet — 0.747 (2019-08-20) HRNet — 0.747 (2019-08-20) F3Net — 0.712 (2019-11-26) F3Net — 0.712 (2019-11-26) F3Net — 0.712 (2019-11-26) F3Net — 0.712 (2019-11-26) F3Net — 0.712 (2019-11-26) F3Net — 0.712 (2019-11-26) GCPANet — 0.673 (2020-03-02) GCPANet — 0.673 (2020-03-02) GCPANet — 0.673 (2020-03-02) GCPANet — 0.673 (2020-03-02) GCPANet — 0.673 (2020-03-02) GCPANet — 0.673 (2020-03-02) U2Net — 0.756 (2020-05-18) U2Net — 0.756 (2020-05-18) U2Net — 0.756 (2020-05-18) U2Net — 0.756 (2020-05-18) U2Net — 0.756 (2020-05-18) U2Net — 0.756 (2020-05-18) GateNet — 0.702 (2020-07-16) GateNet — 0.702 (2020-07-16) GateNet — 0.702 (2020-07-16) GateNet — 0.702 (2020-07-16) GateNet — 0.702 (2020-07-16) GateNet — 0.702 (2020-07-16) HySM — 0.759 (2020-12-21) HySM — 0.759 (2020-12-21) HySM — 0.759 (2020-12-21) HySM — 0.759 (2020-12-21) HySM — 0.759 (2020-12-21) HySM — 0.759 (2020-12-21) SINetV2 — 0.7 (2021-02-20) SINetV2 — 0.7 (2021-02-20) SINetV2 — 0.7 (2021-02-20) SINetV2 — 0.7 (2021-02-20) SINetV2 — 0.7 (2021-02-20) SINetV2 — 0.7 (2021-02-20) PFNet — 0.72 (2021-04-21) PFNet — 0.72 (2021-04-21) PFNet — 0.72 (2021-04-21) PFNet — 0.72 (2021-04-21) PFNet — 0.72 (2021-04-21) PFNet — 0.72 (2021-04-21) STDC — 0.72 (2021-04-27) STDC — 0.72 (2021-04-27) STDC — 0.72 (2021-04-27) STDC — 0.72 (2021-04-27) STDC — 0.72 (2021-04-27) STDC — 0.72 (2021-04-27) IS-Net — 0.799 (2022-03-06) IS-Net — 0.799 (2022-03-06) IS-Net — 0.799 (2022-03-06) IS-Net — 0.799 (2022-03-06) IS-Net — 0.799 (2022-03-06) IS-Net — 0.799 (2022-03-06) InSPyReNet (HR scale) — 0.894 (2022-09-20) InSPyReNet — 0.881 (2022-09-20) InSPyReNet (HR scale) — 0.894 (2022-09-20) InSPyReNet — 0.881 (2022-09-20) InSPyReNet (HR scale) — 0.894 (2022-09-20) InSPyReNet — 0.881 (2022-09-20) InSPyReNet (HR scale) — 0.894 (2022-09-20) InSPyReNet — 0.881 (2022-09-20) InSPyReNet (HR scale) — 0.894 (2022-09-20) InSPyReNet — 0.881 (2022-09-20) InSPyReNet (HR scale) — 0.894 (2022-09-20) InSPyReNet — 0.881 (2022-09-20) BiRefNet — 0.898 (2024-01-07) BiRefNet — 0.898 (2024-01-07) BiRefNet — 0.898 (2024-01-07) BiRefNet — 0.898 (2024-01-07) BiRefNet — 0.898 (2024-01-07) BiRefNet — 0.898 (2024-01-07) MVANet — 0.916 (2024-04-11) MVANet — 0.916 (2024-04-11) MVANet — 0.916 (2024-04-11) MVANet — 0.916 (2024-04-11) MVANet — 0.916 (2024-04-11) MVANet — 0.916 (2024-04-11) PDFNet — 0.921 (2025-03-08) PDFNet — 0.921 (2025-03-08) PDFNet — 0.921 (2025-03-08) PDFNet — 0.921 (2025-03-08) PDFNet — 0.921 (2025-03-08) PDFNet — 0.921 (2025-03-08) UNet — 0.703 (2015-05-18) PSPNet — 0.724 (2016-12-04) MBV3 — 0.743 (2019-05-06) BASNet — 0.755 (2019-06-01) U2Net — 0.756 (2020-05-18) HySM — 0.759 (2020-12-21) IS-Net — 0.799 (2022-03-06) InSPyReNet (HR scale) — 0.894 (2022-09-20) BiRefNet — 0.898 (2024-01-07) MVANet — 0.916 (2024-04-11) PDFNet — 0.921 (2025-03-08)
RankModel max F-Measureweighted F-measureMAES-MeasureE-measureHCE PaperCodeYear
1 PDFNet 0.9210.8850.0280.9240.947– Patch-Depth Fusion: Dichotomous Image Segmentation via Fine-Grained Patch Strategy and Depth Integrity-Prior tennine2077/pdfnet 2025
2 MVANet 0.9160.8740.0300.9150.944251 Multi-view Aggregation Network for Dichotomous Image Segmentation qianyu-dlut/mvanet 2024
3 BiRefNet 0.8980.8630.0350.9040.935265 Bilateral Reference for High-Resolution Dichotomous Image Segmentation zhengpeng7/birefnet 2024
4 InSPyReNet (HR scale) 0.894––0.905–255 Revisiting Image Pyramid Structure for High Resolution Salient Object Detection plemeri/transparent-background · plemeri/inspyrenet · john-mnz/ComfyUI-Inspyrenet-Rembg 2022
5 InSPyReNet 0.8810.8340.0380.8930.925316 Revisiting Image Pyramid Structure for High Resolution Salient Object Detection plemeri/transparent-background · plemeri/inspyrenet · john-mnz/ComfyUI-Inspyrenet-Rembg 2022
6 IS-Net 0.7990.7280.070.8230.858340 Highly Accurate Dichotomous Image Segmentation xuebinqin/DIS 2022
7 HySM 0.7590.6670.0850.7940.832451 HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation YuvalNirkin/hyperseg 2020
8 U2Net 0.7560.6680.0850.7880.833490 U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection xuebinqin/U-2-Net · NathanUA/U-2-Net · PaddlePaddle/PaddleSeg · +26 2020
9 BASNet 0.7550.6680.0840.7860.836480 BASNet: Boundary-Aware Salient Object Detection NathanUA/BASNet · chouxianyu/Boundary-Aware-PoolNet · hamidriasat/BASNet 2019
10 HRNet 0.7470.6640.0870.7840.840555 Deep High-Resolution Representation Learning for Visual Recognition open-mmlab/mmdetection · PaddlePaddle/PaddleDetection · open-mmlab/mmsegmentation · +39 2019
11 MBV3 0.7430.6720.0830.7770.856600 Searching for MobileNetV3 tensorflow/models · tensorflow/models · PaddlePaddle/PaddleOCR · +64 2019
12 PSPNet 0.7240.6360.0920.7630.828586 Pyramid Scene Parsing Network tensorflow/models · tensorflow/models · open-mmlab/mmsegmentation · +64 2016
13 STDC 0.7200.6360.0920.7590.834556 Rethinking BiSeNet For Real-time Semantic Segmentation PaddlePaddle/PaddleSeg · Deci-AI/super-gradients · MichaelFan01/STDC-Seg · +3 2021
13 PFNet 0.7200.6330.0960.7610.829567 Camouflaged Object Segmentation with Distraction Mining Mhaiyang/CVPR2021_PFNet 2021
15 ICNet 0.7160.6270.0950.7590.826512 ICNet for Real-Time Semantic Segmentation on High-Resolution Images osmr/imgclsmob · hszhao/ICNet · hellochick/ICNet-tensorflow · +15 2017
16 F3Net 0.7120.6200.0970.7550.820542 F3Net: Fusion, Feedback and Focus for Salient Object Detection weijun88/F3Net · PanoAsh/ASOD60K · PanoAsh/SHD360 · +1 2019
17 UNet 0.7030.5970.1070.755–474 U-Net: Convolutional Networks for Biomedical Image Segmentation labmlai/annotated_deep_learning_paper_implementations · milesial/Pytorch-UNet · open-mmlab/mmsegmentation · +484 2015
18 GateNet 0.7020.5980.1020.7370.804501 Suppress and Balance: A Simple Gated Network for Salient Object Detection Xiaoqi-Zhao-DLUT/GateNet-RGB-Saliency · xiaoqi-zhao-dlut/msnet · xiaoqi-zhao-dlut/multi-source-aps-zvos 2020
19 SINetV2 0.7000.6180.0990.7530.823593 Concealed Object Detection GewelsJI/SINet-V2 2021
20 DeeplabV3+ 0.6810.5870.1050.7290.813516 Rethinking Atrous Convolution for Semantic Image Segmentation tensorflow/models · tensorflow/models · pytorch/vision · +74 2017
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