paper-with-me

Dichotomous Image Segmentation 벤치마크

Dichotomous Image Segmentation on DIS-TE4

132개 결과 · ⬇ CSV · JSON

max F-Measure

0.67 0.7305 0.791 0.8515 0.912 2015-05 2026-09 UNet — 0.759 (2015-05-18) UNet — 0.759 (2015-05-18) UNet — 0.759 (2015-05-18) UNet — 0.759 (2015-05-18) UNet — 0.759 (2015-05-18) UNet — 0.759 (2015-05-18) PSPNet — 0.725 (2016-12-04) PSPNet — 0.725 (2016-12-04) PSPNet — 0.725 (2016-12-04) PSPNet — 0.725 (2016-12-04) PSPNet — 0.725 (2016-12-04) PSPNet — 0.725 (2016-12-04) ICNet — 0.749 (2017-04-27) ICNet — 0.749 (2017-04-27) ICNet — 0.749 (2017-04-27) ICNet — 0.749 (2017-04-27) ICNet — 0.749 (2017-04-27) ICNet — 0.749 (2017-04-27) DeeplabV3+ — 0.715 (2017-06-17) DeeplabV3+ — 0.715 (2017-06-17) DeeplabV3+ — 0.715 (2017-06-17) DeeplabV3+ — 0.715 (2017-06-17) DeeplabV3+ — 0.715 (2017-06-17) DeeplabV3+ — 0.715 (2017-06-17) BSV1 — 0.71 (2018-08-02) BSV1 — 0.71 (2018-08-02) BSV1 — 0.71 (2018-08-02) BSV1 — 0.71 (2018-08-02) BSV1 — 0.71 (2018-08-02) BSV1 — 0.71 (2018-08-02) MBV3 — 0.736 (2019-05-06) MBV3 — 0.736 (2019-05-06) MBV3 — 0.736 (2019-05-06) MBV3 — 0.736 (2019-05-06) MBV3 — 0.736 (2019-05-06) MBV3 — 0.736 (2019-05-06) BASNet — 0.78 (2019-06-01) BASNet — 0.78 (2019-06-01) BASNet — 0.78 (2019-06-01) BASNet — 0.78 (2019-06-01) BASNet — 0.78 (2019-06-01) BASNet — 0.78 (2019-06-01) HRNet — 0.772 (2019-08-20) HRNet — 0.772 (2019-08-20) HRNet — 0.772 (2019-08-20) HRNet — 0.772 (2019-08-20) HRNet — 0.772 (2019-08-20) HRNet — 0.772 (2019-08-20) F3Net — 0.721 (2019-11-26) F3Net — 0.721 (2019-11-26) F3Net — 0.721 (2019-11-26) F3Net — 0.721 (2019-11-26) F3Net — 0.721 (2019-11-26) F3Net — 0.721 (2019-11-26) GCPANet — 0.67 (2020-03-02) GCPANet — 0.67 (2020-03-02) GCPANet — 0.67 (2020-03-02) GCPANet — 0.67 (2020-03-02) GCPANet — 0.67 (2020-03-02) GCPANet — 0.67 (2020-03-02) U2Net — 0.795 (2020-05-18) U2Net — 0.795 (2020-05-18) U2Net — 0.795 (2020-05-18) U2Net — 0.795 (2020-05-18) U2Net — 0.795 (2020-05-18) U2Net — 0.795 (2020-05-18) GateNet — 0.729 (2020-07-16) GateNet — 0.729 (2020-07-16) GateNet — 0.729 (2020-07-16) GateNet — 0.729 (2020-07-16) GateNet — 0.729 (2020-07-16) GateNet — 0.729 (2020-07-16) HySM — 0.782 (2020-12-21) HySM — 0.782 (2020-12-21) HySM — 0.782 (2020-12-21) HySM — 0.782 (2020-12-21) HySM — 0.782 (2020-12-21) HySM — 0.782 (2020-12-21) SINetV2 — 0.699 (2021-02-20) SINetV2 — 0.699 (2021-02-20) SINetV2 — 0.699 (2021-02-20) SINetV2 — 0.699 (2021-02-20) SINetV2 — 0.699 (2021-02-20) SINetV2 — 0.699 (2021-02-20) PFNet — 0.731 (2021-04-21) PFNet — 0.731 (2021-04-21) PFNet — 0.731 (2021-04-21) PFNet — 0.731 (2021-04-21) PFNet — 0.731 (2021-04-21) PFNet — 0.731 (2021-04-21) STDC — 0.731 (2021-04-27) STDC — 0.731 (2021-04-27) STDC — 0.731 (2021-04-27) STDC — 0.731 (2021-04-27) STDC — 0.731 (2021-04-27) STDC — 0.731 (2021-04-27) IS-Net — 0.827 (2022-03-06) IS-Net — 0.827 (2022-03-06) IS-Net — 0.827 (2022-03-06) IS-Net — 0.827 (2022-03-06) IS-Net — 0.827 (2022-03-06) IS-Net — 0.827 (2022-03-06) InSPyReNet (HR scale) — 0.905 (2022-09-20) InSPyReNet — 0.892 (2022-09-20) InSPyReNet (HR scale) — 0.905 (2022-09-20) InSPyReNet — 0.892 (2022-09-20) InSPyReNet (HR scale) — 0.905 (2022-09-20) InSPyReNet — 0.892 (2022-09-20) InSPyReNet (HR scale) — 0.905 (2022-09-20) InSPyReNet — 0.892 (2022-09-20) InSPyReNet (HR scale) — 0.905 (2022-09-20) InSPyReNet — 0.892 (2022-09-20) InSPyReNet (HR scale) — 0.905 (2022-09-20) InSPyReNet — 0.892 (2022-09-20) BiRefNet — 0.9 (2024-01-07) BiRefNet — 0.9 (2024-01-07) BiRefNet — 0.9 (2024-01-07) BiRefNet — 0.9 (2024-01-07) BiRefNet — 0.9 (2024-01-07) BiRefNet — 0.9 (2024-01-07) MVANet — 0.912 (2024-04-11) MVANet — 0.912 (2024-04-11) MVANet — 0.912 (2024-04-11) MVANet — 0.912 (2024-04-11) MVANet — 0.912 (2024-04-11) MVANet — 0.912 (2024-04-11) PDFNet — 0.911 (2025-03-08) PDFNet — 0.911 (2025-03-08) PDFNet — 0.911 (2025-03-08) PDFNet — 0.911 (2025-03-08) PDFNet — 0.911 (2025-03-08) PDFNet — 0.911 (2025-03-08) UNet — 0.759 (2015-05-18) BASNet — 0.78 (2019-06-01) U2Net — 0.795 (2020-05-18) IS-Net — 0.827 (2022-03-06) InSPyReNet (HR scale) — 0.905 (2022-09-20) MVANet — 0.912 (2024-04-11)
RankModel max F-Measureweighted F-measureMAES-MeasureE-measureHCE PaperCodeYear
1 MVANet 0.9120.8570.0410.9030.9442331 Multi-view Aggregation Network for Dichotomous Image Segmentation qianyu-dlut/mvanet 2024
2 PDFNet 0.9110.8670.0370.9100.941 Patch-Depth Fusion: Dichotomous Image Segmentation via Fine-Grained Patch Strategy and Depth Integrity-Prior tennine2077/pdfnet 2025
3 InSPyReNet (HR scale) 0.9050.8480.0420.9050.9262336 Revisiting Image Pyramid Structure for High Resolution Salient Object Detection plemeri/transparent-background · plemeri/inspyrenet · john-mnz/ComfyUI-Inspyrenet-Rembg 2022
4 BiRefNet 0.9000.8610.0400.8980.9372746 Bilateral Reference for High-Resolution Dichotomous Image Segmentation zhengpeng7/birefnet 2024
5 InSPyReNet 0.8920.8400.0460.8910.9262243 Revisiting Image Pyramid Structure for High Resolution Salient Object Detection plemeri/transparent-background · plemeri/inspyrenet · john-mnz/ComfyUI-Inspyrenet-Rembg 2022
6 IS-Net 0.8270.7530.0720.830.872888 Highly Accurate Dichotomous Image Segmentation xuebinqin/DIS 2022
7 U2Net 0.7950.7050.0870.8070.8473653 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
8 HySM 0.7820.6930.0910.8020.8423331 HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation YuvalNirkin/hyperseg 2020
9 BASNet 0.7800.6930.0910.7940.8483601 BASNet: Boundary-Aware Salient Object Detection NathanUA/BASNet · chouxianyu/Boundary-Aware-PoolNet · hamidriasat/BASNet 2019
10 HRNet 0.7720.6870.0920.7920.8543864 Deep High-Resolution Representation Learning for Visual Recognition open-mmlab/mmdetection · PaddlePaddle/PaddleDetection · open-mmlab/mmsegmentation · +39 2019
11 UNet 0.7590.6590.1020.8213218 U-Net: Convolutional Networks for Biomedical Image Segmentation labmlai/annotated_deep_learning_paper_implementations · milesial/Pytorch-UNet · open-mmlab/mmsegmentation · +484 2015
12 ICNet 0.7490.6630.0990.7760.8373690 ICNet for Real-Time Semantic Segmentation on High-Resolution Images osmr/imgclsmob · hszhao/ICNet · hellochick/ICNet-tensorflow · +15 2017
13 MBV3 0.7360.6640.0980.7700.8483817 Searching for MobileNetV3 tensorflow/models · tensorflow/models · PaddlePaddle/PaddleOCR · +64 2019
14 STDC 0.7310.6520.1020.7620.8413819 Rethinking BiSeNet For Real-time Semantic Segmentation PaddlePaddle/PaddleSeg · Deci-AI/super-gradients · MichaelFan01/STDC-Seg · +3 2021
14 PFNet 0.7310.6470.1070.7630.8383803 Camouflaged Object Segmentation with Distraction Mining Mhaiyang/CVPR2021_PFNet 2021
16 GateNet 0.7290.6250.1090.7430.8033654 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
17 PSPNet 0.7250.6300.1070.7580.8153806 Pyramid Scene Parsing Network tensorflow/models · tensorflow/models · open-mmlab/mmsegmentation · +64 2016
18 F3Net 0.7210.6330.1070.7520.8253760 F3Net: Fusion, Feedback and Focus for Salient Object Detection weijun88/F3Net · PanoAsh/ASOD60K · PanoAsh/SHD360 · +1 2019
19 DeeplabV3+ 0.7150.6210.1110.7440.8203709 Rethinking Atrous Convolution for Semantic Image Segmentation tensorflow/models · tensorflow/models · pytorch/vision · +74 2017
20 BSV1 0.7100.5980.1140.7550.7883999 BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation PaddlePaddle/PaddleSeg · osmr/imgclsmob · CoinCheung/BiSeNet · +18 2018
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