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Rgb Salient Object Detection On Hrsod

Metriken

MAE
S-Measure
mBA
max F-Measure

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname
MAE
S-Measure
mBA
max F-Measure
Paper TitleRepository
Zeng et al.0.0300.8920.6930.892Towards High-Resolution Salient Object Detection-
BiRefNet (DUTS, UHRSD)0.0140.959-0.958Bilateral Reference for High-Resolution Dichotomous Image Segmentation-
BiRefNet (DUTS, HRSOD)0.0110.962-0.963Bilateral Reference for High-Resolution Dichotomous Image Segmentation-
BiRefNet (DUTS)0.0140.957-0.958Bilateral Reference for High-Resolution Dichotomous Image Segmentation-
InSPyReNet (HRSOD, UHRSD)0.0180.9560.7710.956Revisiting Image Pyramid Structure for High Resolution Salient Object Detection-
Tang et al. (HRSOD)0.0220.9200.6930.915Disentangled High Quality Salient Object Detection-
PGNet (DUTS, HRSOD)0.0200.9350.7140.929Pyramid Grafting Network for One-Stage High Resolution Saliency Detection-
BiRefNet (HRSOD, UHRSD)0.0160.956-0.953Bilateral Reference for High-Resolution Dichotomous Image Segmentation-
PGNet0.0210.9300.6930.922Pyramid Grafting Network for One-Stage High Resolution Saliency Detection-
PGNet (HRSOD, UHRSD)0.0200.9380.7270.939Pyramid Grafting Network for One-Stage High Resolution Saliency Detection-
InSPyReNet (DUTS, HRSOD)0.0140.9600.7660.957Revisiting Image Pyramid Structure for High Resolution Salient Object Detection-
BiRefNet (DUTS, HRSOD, UHRSD)0.0130.962-0.961Bilateral Reference for High-Resolution Dichotomous Image Segmentation-
PDFNet (HRSOD,UHRSD)0.0120.963-0.965Patch-Depth Fusion: Dichotomous Image Segmentation via Fine-Grained Patch Strategy and Depth Integrity-Prior-
InSPyReNet0.0160.9520.7380.949Revisiting Image Pyramid Structure for High Resolution Salient Object Detection-
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Rgb Salient Object Detection On Hrsod | SOTA | HyperAI