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SOTA
显著物体检测
Salient Object Detection On Hku Is 1
Salient Object Detection On Hku Is 1
评估指标
MAE
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
MAE
Paper Title
Repository
U2Net
0.031
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection
F3Net
0.028
F3Net: Fusion, Feedback and Focus for Salient Object Detection
LDF
0.027
Label Decoupling Framework for Salient Object Detection
RCSB
0.027
Recursive Contour Saliency Blending Network for Accurate Salient Object Detection
SelfReformer
0.024
SelfReformer: Self-Refined Network with Transformer for Salient Object Detection
EVPv1
0.024
Explicit Visual Prompting for Low-Level Structure Segmentations
SelfReformer-Swin
0.023
SelfReformer: Self-Refined Network with Transformer for Salient Object Detection
SAM2-UNet
0.019
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation
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Salient Object Detection On Hku Is 1 | SOTA | HyperAI超神经