HyperAI초신경
홈뉴스최신 연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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HyperAI초신경

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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