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홈뉴스연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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Image Dehazing On Sots Outdoor

평가 지표

PSNR
SSIM

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
PSNR
SSIM
Paper TitleRepository
GMAN28.190.9638Generic Model-Agnostic Convolutional Neural Network for Single Image Dehazing
C2PNet36.680.99Curricular Contrastive Regularization for Physics-aware Single Image Dehazing
GridDehazeNet30.860.982GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing
MixDehazeNet36.500.986MixDehazeNet : Mix Structure Block For Image Dehazing Network
EPDN22.570.8630Enhanced Pix2pix Dehazing Network-
FFA-Net33.570.9804FFA-Net: Feature Fusion Attention Network for Single Image Dehazing
SANet38.010.995Strip Attention for Image Restoration-
ChaIR40.730.997Exploring the potential of channel interactions for image restoration-
SFNet40.050.996Selective Frequency Network for Image Restoration-
ConvIR39.420.996Revitalizing Convolutional Network for Image Restoration-
Uformer26.520.945Uformer: A General U-Shaped Transformer for Image Restoration
U2-Former31.100.976U2-Former: A Nested U-shaped Transformer for Image Restoration-
Deep DCP24.080.933Unsupervised Single Image Dehazing Using Dark Channel Prior Loss
FocalNet37.710.995Focal Network for Image Restoration-
CasDyF-Net38.860.995CasDyF-Net: Image Dehazing via Cascaded Dynamic Filters
DSANet38.390.995Dual-domain strip attention for image restoration-
MaIR36.960.991MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
OKNet37.680.995Omni-Kernel Network for Image Restoration-
IRNeXt39.180.996IRNeXt: Rethinking Convolutional Network Design for Image Restoration-
DEA-Net-CR36.590.9897DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention
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