SOTAVerified

Shadow Detection

Papers

Showing 125 of 79 papers

TitleStatusHype
SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and MoreCode5
SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and MoreCode3
Explicit Visual Prompting for Low-Level Structure SegmentationsCode2
Explicit Visual Prompting for Universal Foreground SegmentationsCode2
Unveiling Deep Shadows: A Survey and Benchmark on Image and Video Shadow Detection, Removal, and Generation in the Deep Learning EraCode2
SpA-Former: Transformer image shadow detection and removal via spatial attentionCode2
Learning from Synthetic Shadows for Shadow Detection and RemovalCode1
Video Shadow Detection via Spatio-Temporal Interpolation Consistency TrainingCode1
When SAM Meets Shadow DetectionCode1
Shadow Neural Radiance Fields for Multi-view Satellite PhotogrammetryCode1
Triple-cooperative Video Shadow DetectionCode1
Video Instance Shadow Detection Under the Sun and SkyCode1
Cloud and Cloud Shadow Segmentation for Remote Sensing Imagery via Filtered Jaccard Loss Function and Parametric AugmentationCode1
CloudS2Mask: A novel deep learning approach for improved cloud and cloud shadow masking in Sentinel-2 imageryCode1
Instance Shadow DetectionCode1
SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy LabelsCode1
AdapterShadow: Adapting Segment Anything Model for Shadow DetectionCode1
Instance Shadow Detection with A Single-Stage DetectorCode1
A Multi-Task Mean Teacher for Semi-Supervised Shadow DetectionCode1
DESOBAv2: Towards Large-scale Real-world Dataset for Shadow GenerationCode1
Detect Any Shadow: Segment Anything for Video Shadow DetectionCode1
ShaDocNet: Learning Spatial-Aware Tokens in Transformer for Document Shadow RemovalCode1
SDDNet: Style-guided Dual-layer Disentanglement Network for Shadow DetectionCode1
Single-Stage Instance Shadow Detection with Bidirectional Relation LearningCode1
A+D Net: Training a Shadow Detector with Adversarial Shadow AttenuationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FDRNet (ICCV 2021) (256x256)BER14.39Unverified
2DSC (CVPR 2018, TPAMI 2020) (256x256)BER10.97Unverified
3BDRAR (ECCV 2018) (256x256)BER10.09Unverified
4FSDNet (TIP 2021) (256x256)BER9.93Unverified
5DSC (CVPR 2018, TPAMI 2020) (512x512)BER9.53Unverified
6MTMT-Net (CVPR 2020) (256x256)BER8.9Unverified
7FSDNet (TIP 2021) (512x512)BER8.84Unverified
8BDRAR (ECCV 2018) (512x512)BER8.79Unverified
9SDDNet (MM 2023) (256x256)BER8.66Unverified
10ECA (MM 2021) (256x256)BER8.58Unverified
#ModelMetricClaimedVerifiedStatus
1ECA (MM 2021) (512x512)BER7.52Unverified
2FSDNet (TIP 2021) (256x256)BER7.16Unverified
3ECA (MM 2021) (256x256)BER7.08Unverified
4FSDNet (TIP 2021) (512x512)BER6.8Unverified
5DSC (CVPR 2018, TPAMI 2020) (256x256)BER6.79Unverified
6DSC (CVPR 2018, TPAMI 2020) (512x512)BER6.34Unverified
7MTMT-Net (CVPR 2020) (256x256)BER6.32Unverified
8BDRAR (ECCV 2018) (256x256)BER6.27Unverified
9MTMT-Net (CVPR 2020) (512x512)BER5.79Unverified
10FDRNet (ICCV 2021) (256x256)BER5.64Unverified