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
Unveiling Deep Shadows: A Survey and Benchmark on Image and Video Shadow Detection, Removal, and Generation in the Deep Learning EraCode2
Explicit Visual Prompting for Universal Foreground SegmentationsCode2
SpA-Former: Transformer image shadow detection and removal via spatial attentionCode2
Video Shadow Detection via Spatio-Temporal Interpolation Consistency TrainingCode1
Video Instance Shadow Detection Under the Sun and SkyCode1
When SAM Meets Shadow DetectionCode1
Shadow Neural Radiance Fields for Multi-view Satellite PhotogrammetryCode1
Triple-cooperative Video Shadow DetectionCode1
Instance Shadow DetectionCode1
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
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
SDDNet: Style-guided Dual-layer Disentanglement Network for Shadow DetectionCode1
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
Learning from Synthetic Shadows for Shadow Detection and RemovalCode1
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