HyperAI초신경
홈뉴스최신 연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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Salient Object Detection On Hku Is 1

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MAE

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이 벤치마크에서 각 모델의 성능 결과

모델 이름
MAE
Paper TitleRepository
U2Net0.031U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection
LDF0.027Label Decoupling Framework for Salient Object Detection
SelfReformer0.024SelfReformer: Self-Refined Network with Transformer for Salient Object Detection
EVPv10.024Explicit Visual Prompting for Low-Level Structure Segmentations
SAM2-UNet0.019SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation
SelfReformer-Swin0.023SelfReformer: Self-Refined Network with Transformer for Salient Object Detection
F3Net0.028F3Net: Fusion, Feedback and Focus for Salient Object Detection
RCSB0.027Recursive Contour Saliency Blending Network for Accurate Salient Object Detection
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