Shadow Detection
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Benchmarks
CUHK-Shadow
SBU / SBU-Refine
Most implemented
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal
Cloud and Cloud Shadow Segmentation for Remote Sensing Imagery via Filtered Jaccard Loss Function and Parametric Augmentation
Instance Shadow Detection
Explicit Visual Prompting for Universal Foreground Segmentations
Instance Shadow Detection with A Single-Stage Detector
Papers
Revisiting Shadow Detection from a Vision-Language Perspective
Shadow detection is commonly formulated as a vision-driven dense prediction problem, where models rely primarily on pixel-wise visual supervision to distinguish shadows from non-shadow regions. However, this formulation …
Shadow DetectiondeSEO: Physics-Aware Dataset Creation for High-Resolution Satellite Image Shadow Removal
Shadows cast by terrain and tall structures remain a major obstacle for high-resolution satellite image analysis, degrading classification, detection, and 3D reconstruction performance. Public resources offering geometry…
Image Shadow Removal3D ReconstructionShadow DetectionSARU: A Shadow-Aware and Removal Unified Framework for Remote Sensing Images with New Benchmarks
Shadows are a prevalent problem in remote sensing imagery (RSI), degrading visual quality and severely limiting the performance of downstream tasks like object detection and semantic segmentation. Most prior works treat …
Semantic SegmentationImage Shadow RemovalShadow DetectionObject DetectionCast and Attached Shadow Detection via Iterative Light and Geometry Reasoning
Shadows encode rich information about scene geometry and illumination, yet existing methods either predict a unified shadow mask or overlook attached shadows entirely. We address this gap by proposing a framework for joi…
Shadow DetectionSAM3-Adapter: Efficient Adaptation of Segment Anything 3 for Camouflage Object Segmentation, Shadow Detection, and Medical Image Segmentation
The rapid rise of large-scale foundation models has reshaped the landscape of image segmentation, with models such as Segment Anything achieving unprecedented versatility across diverse vision tasks. However, previous ge…
Medical Image SegmentationObject SegmentationShadow DetectionObject DetectionDTTNet: Improving Video Shadow Detection via Dark-Aware Guidance and Tokenized Temporal Modeling
Video shadow detection confronts two entwined difficulties: distinguishing shadows from complex backgrounds and modeling dynamic shadow deformations under varying illumination. To address shadow-background ambiguity, we …
Shadow Detection