paper-with-me

Dichotomous Image Segmentation 벤치마크

Dichotomous Image Segmentation on DIS-VD

144개 결과 · ⬇ CSV · JSON

max F-Measure

0.648 0.7167 0.7855 0.8543 0.923 2015-05 2026-09 UNet — 0.692 (2015-05-18) UNet — 0.692 (2015-05-18) UNet — 0.692 (2015-05-18) UNet — 0.692 (2015-05-18) UNet — 0.692 (2015-05-18) UNet — 0.692 (2015-05-18) PSPNet — 0.691 (2016-12-04) PSPNet — 0.691 (2016-12-04) PSPNet — 0.691 (2016-12-04) PSPNet — 0.691 (2016-12-04) PSPNet — 0.691 (2016-12-04) PSPNet — 0.691 (2016-12-04) ICNet — 0.697 (2017-04-27) ICNet — 0.697 (2017-04-27) ICNet — 0.697 (2017-04-27) ICNet — 0.697 (2017-04-27) ICNet — 0.697 (2017-04-27) ICNet — 0.697 (2017-04-27) DeeplabV3+ — 0.66 (2017-06-17) DeeplabV3+ — 0.66 (2017-06-17) DeeplabV3+ — 0.66 (2017-06-17) DeeplabV3+ — 0.66 (2017-06-17) DeeplabV3+ — 0.66 (2017-06-17) DeeplabV3+ — 0.66 (2017-06-17) BSV1 — 0.662 (2018-08-02) BSV1 — 0.662 (2018-08-02) BSV1 — 0.662 (2018-08-02) BSV1 — 0.662 (2018-08-02) BSV1 — 0.662 (2018-08-02) BSV1 — 0.662 (2018-08-02) MBV3 — 0.714 (2019-05-06) MBV3 — 0.714 (2019-05-06) MBV3 — 0.714 (2019-05-06) MBV3 — 0.714 (2019-05-06) MBV3 — 0.714 (2019-05-06) MBV3 — 0.714 (2019-05-06) BASNet — 0.731 (2019-06-01) BASNet — 0.731 (2019-06-01) BASNet — 0.731 (2019-06-01) BASNet — 0.731 (2019-06-01) BASNet — 0.731 (2019-06-01) BASNet — 0.731 (2019-06-01) HRNet — 0.726 (2019-08-20) HRNet — 0.726 (2019-08-20) HRNet — 0.726 (2019-08-20) HRNet — 0.726 (2019-08-20) HRNet — 0.726 (2019-08-20) HRNet — 0.726 (2019-08-20) F3Net — 0.685 (2019-11-26) F3Net — 0.685 (2019-11-26) F3Net — 0.685 (2019-11-26) F3Net — 0.685 (2019-11-26) F3Net — 0.685 (2019-11-26) F3Net — 0.685 (2019-11-26) GCPANet — 0.648 (2020-03-02) GCPANet — 0.648 (2020-03-02) GCPANet — 0.648 (2020-03-02) GCPANet — 0.648 (2020-03-02) GCPANet — 0.648 (2020-03-02) GCPANet — 0.648 (2020-03-02) U2Net — 0.748 (2020-05-18) U2Net — 0.748 (2020-05-18) U2Net — 0.748 (2020-05-18) U2Net — 0.748 (2020-05-18) U2Net — 0.748 (2020-05-18) U2Net — 0.748 (2020-05-18) GateNet — 0.678 (2020-07-16) GateNet — 0.678 (2020-07-16) GateNet — 0.678 (2020-07-16) GateNet — 0.678 (2020-07-16) GateNet — 0.678 (2020-07-16) GateNet — 0.678 (2020-07-16) HySM — 0.734 (2020-12-21) HySM — 0.734 (2020-12-21) HySM — 0.734 (2020-12-21) HySM — 0.734 (2020-12-21) HySM — 0.734 (2020-12-21) HySM — 0.734 (2020-12-21) SINetV2 — 0.665 (2021-02-20) SINetV2 — 0.665 (2021-02-20) SINetV2 — 0.665 (2021-02-20) SINetV2 — 0.665 (2021-02-20) SINetV2 — 0.665 (2021-02-20) SINetV2 — 0.665 (2021-02-20) PFNet — 0.691 (2021-04-21) PFNet — 0.691 (2021-04-21) PFNet — 0.691 (2021-04-21) PFNet — 0.691 (2021-04-21) PFNet — 0.691 (2021-04-21) PFNet — 0.691 (2021-04-21) STDC — 0.696 (2021-04-27) STDC — 0.696 (2021-04-27) STDC — 0.696 (2021-04-27) STDC — 0.696 (2021-04-27) STDC — 0.696 (2021-04-27) STDC — 0.696 (2021-04-27) IS-Net — 0.791 (2022-03-06) IS-Net — 0.791 (2022-03-06) IS-Net — 0.791 (2022-03-06) IS-Net — 0.791 (2022-03-06) IS-Net — 0.791 (2022-03-06) IS-Net — 0.791 (2022-03-06) InSPyReNet (HR scale) — 0.889 (2022-09-20) InSPyReNet — 0.876 (2022-09-20) InSPyReNet (HR scale) — 0.889 (2022-09-20) InSPyReNet — 0.876 (2022-09-20) InSPyReNet (HR scale) — 0.889 (2022-09-20) InSPyReNet — 0.876 (2022-09-20) InSPyReNet (HR scale) — 0.889 (2022-09-20) InSPyReNet — 0.876 (2022-09-20) InSPyReNet (HR scale) — 0.889 (2022-09-20) InSPyReNet — 0.876 (2022-09-20) InSPyReNet (HR scale) — 0.889 (2022-09-20) InSPyReNet — 0.876 (2022-09-20) BiRefNet — 0.889 (2024-01-07) BiRefNet — 0.889 (2024-01-07) BiRefNet — 0.889 (2024-01-07) BiRefNet — 0.889 (2024-01-07) BiRefNet — 0.889 (2024-01-07) BiRefNet — 0.889 (2024-01-07) MVANet — 0.904 (2024-04-11) MVANet — 0.904 (2024-04-11) MVANet — 0.904 (2024-04-11) MVANet — 0.904 (2024-04-11) MVANet — 0.904 (2024-04-11) MVANet — 0.904 (2024-04-11) BEN_Base — 0.923 (2025-01-08) BEN_Base+Refiner — 0.919 (2025-01-08) BEN_Base — 0.923 (2025-01-08) BEN_Base+Refiner — 0.919 (2025-01-08) BEN_Base — 0.923 (2025-01-08) BEN_Base+Refiner — 0.919 (2025-01-08) BEN_Base — 0.923 (2025-01-08) BEN_Base+Refiner — 0.919 (2025-01-08) BEN_Base — 0.923 (2025-01-08) BEN_Base+Refiner — 0.919 (2025-01-08) BEN_Base — 0.923 (2025-01-08) BEN_Base+Refiner — 0.919 (2025-01-08) PDFNet — 0.913 (2025-03-08) PDFNet — 0.913 (2025-03-08) PDFNet — 0.913 (2025-03-08) PDFNet — 0.913 (2025-03-08) PDFNet — 0.913 (2025-03-08) PDFNet — 0.913 (2025-03-08) UNet — 0.692 (2015-05-18) ICNet — 0.697 (2017-04-27) MBV3 — 0.714 (2019-05-06) BASNet — 0.731 (2019-06-01) U2Net — 0.748 (2020-05-18) IS-Net — 0.791 (2022-03-06) InSPyReNet (HR scale) — 0.889 (2022-09-20) MVANet — 0.904 (2024-04-11) BEN_Base — 0.923 (2025-01-08)
RankModel max F-Measureweighted F-measureMAES-MeasureE-measureHCE Extra Training Data PaperCodeYear
1 BEN_Base 0.9230.8710.0310.9160.935– ✓ BEN: Using Confidence-Guided Matting for Dichotomous Image Segmentation PramaLLC/BEN 2025
2 BEN_Base+Refiner 0.9190.8960.0270.9170.958– ✓ BEN: Using Confidence-Guided Matting for Dichotomous Image Segmentation PramaLLC/BEN 2025
3 PDFNet 0.9130.8730.0300.9160.944– Patch-Depth Fusion: Dichotomous Image Segmentation via Fine-Grained Patch Strategy and Depth Integrity-Prior tennine2077/pdfnet 2025
4 MVANet 0.9040.8630.0340.9050.941893 Multi-view Aggregation Network for Dichotomous Image Segmentation qianyu-dlut/mvanet 2024
5 BiRefNet 0.8890.8530.0380.8980.9281006 Bilateral Reference for High-Resolution Dichotomous Image Segmentation zhengpeng7/birefnet 2024
5 InSPyReNet (HR scale) 0.889––0.900–904 Revisiting Image Pyramid Structure for High Resolution Salient Object Detection plemeri/transparent-background · plemeri/inspyrenet · john-mnz/ComfyUI-Inspyrenet-Rembg 2022
7 InSPyReNet 0.8760.8260.0430.8870.921905 Revisiting Image Pyramid Structure for High Resolution Salient Object Detection plemeri/transparent-background · plemeri/inspyrenet · john-mnz/ComfyUI-Inspyrenet-Rembg 2022
8 IS-Net 0.7910.7170.0740.8130.8561116 Highly Accurate Dichotomous Image Segmentation xuebinqin/DIS 2022
9 U2Net 0.7480.6560.0900.7810.8231413 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
10 HySM 0.7340.6400.0960.7730.8141324 HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation YuvalNirkin/hyperseg 2020
11 BASNet 0.7310.6410.0940.7680.8161402 BASNet: Boundary-Aware Salient Object Detection NathanUA/BASNet · chouxianyu/Boundary-Aware-PoolNet · hamidriasat/BASNet 2019
12 HRNet 0.7260.6410.0950.7670.8241560 Deep High-Resolution Representation Learning for Visual Recognition open-mmlab/mmdetection · PaddlePaddle/PaddleDetection · open-mmlab/mmsegmentation · +39 2019
13 MBV3 0.7140.6420.0920.7580.8411625 Searching for MobileNetV3 tensorflow/models · tensorflow/models · PaddlePaddle/PaddleOCR · +64 2019
14 ICNet 0.6970.6090.1020.7470.8111503 ICNet for Real-Time Semantic Segmentation on High-Resolution Images osmr/imgclsmob · hszhao/ICNet · hellochick/ICNet-tensorflow · +15 2017
15 STDC 0.6960.6130.1030.7400.8171598 Rethinking BiSeNet For Real-time Semantic Segmentation PaddlePaddle/PaddleSeg · Deci-AI/super-gradients · MichaelFan01/STDC-Seg · +3 2021
16 UNet 0.6920.5860.1130.7450.7851337 U-Net: Convolutional Networks for Biomedical Image Segmentation labmlai/annotated_deep_learning_paper_implementations · milesial/Pytorch-UNet · open-mmlab/mmsegmentation · +484 2015
17 PFNet 0.6910.6040.1060.7400.8111606 Camouflaged Object Segmentation with Distraction Mining Mhaiyang/CVPR2021_PFNet 2021
17 PSPNet 0.6910.6030.1020.7440.8021588 Pyramid Scene Parsing Network tensorflow/models · tensorflow/models · open-mmlab/mmsegmentation · +64 2016
19 F3Net 0.6850.5950.1070.7330.8001567 F3Net: Fusion, Feedback and Focus for Salient Object Detection weijun88/F3Net · PanoAsh/ASOD60K · PanoAsh/SHD360 · +1 2019
20 GateNet 0.6780.5740.1100.7230.7831493 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
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