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홈뉴스최신 연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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소개
한국어
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  4. Camouflaged Object Segmentation On Pcod 1200

Camouflaged Object Segmentation On Pcod 1200

평가 지표

S-Measure

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
S-Measure
Paper TitleRepository
C2FNet-V20.895Camouflaged Object Detection via Context-aware Cross-level Fusion-
PraNet0.904PraNet: Parallel Reverse Attention Network for Polyp Segmentation-
CMX0.922CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers-
ERRNet0.833Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network-
PGSNet0.916Glass Segmentation Using Intensity and Spectral Polarization Cues-
SINet-V20.882Concealed Object Detection-
CPD0.855Cascaded Partial Decoder for Fast and Accurate Salient Object Detection-
SINet-V10.862Camouflaged Object Detection
F3Net0.885F3Net: Fusion, Feedback and Focus for Salient Object Detection-
LSR0.888Simultaneously Localize, Segment and Rank the Camouflaged Objects-
EGNet0.861EGNet: Edge Guidance Network for Salient Object Detection
ZoomNet0.897Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection-
BASNet0.837BASNet: Boundary-Aware Salient Object Detection-
PFNet0.873Camouflaged Object Segmentation with Distraction Mining-
UNet++0.801UNet++: A Nested U-Net Architecture for Medical Image Segmentation-
C2FNet0.893Context-aware Cross-level Fusion Network for Camouflaged Object Detection-
0 of 16 row(s) selected.
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한국어

소개

회사 소개데이터셋 도움말

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뉴스튜토리얼데이터셋백과사전

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