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Shadow Detection
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
FastInstShadow: A Simple Query-Based Model for Instance Shadow Detection
QDCNN: Quantum Deep Learning for Enhancing Safety and Reliability in Autonomous Transportation Systems
When SAM2 Meets Video Shadow and Mirror Detection
MetaShadow: Object-Centered Shadow Detection, Removal, and Synthesis
Test-Time Intensity Consistency Adaptation for Shadow Detection
Unveiling Deep Shadows: A Survey and Benchmark on Image and Video Shadow Detection, Removal, and Generation in the Deep Learning Era
RenDetNet: Weakly-supervised Shadow Detection with Shadow Caster Verification
Timeline and Boundary Guided Diffusion Network for Video Shadow Detection
Language-Driven Interactive Shadow Detection
SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More
SwinShadow: Shifted Window for Ambiguous Adjacent Shadow Detection
CloudS2Mask: A novel deep learning approach for improved cloud and cloud shadow masking in Sentinel-2 imagery
NTIRE 2023 Image Shadow Removal Challenge Technical Report: Team IIM_TTI
Delving into Dark Regions for Robust Shadow Detection
Differentiable Point-based Inverse Rendering
AdapterShadow: Adapting Segment Anything Model for Shadow Detection
Deep learning segmentation of fibrous cap in intravascular optical coherence tomography images
SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels
DESOBAv2: Towards Large-scale Real-world Dataset for Shadow Generation
SDDNet: Style-guided Dual-layer Disentanglement Network for Shadow Detection
SAM-helps-Shadow:When Segment Anything Model meet shadow removal
Explicit Visual Prompting for Universal Foreground Segmentations
Detect Any Shadow: Segment Anything for Video Shadow Detection
When SAM Meets Shadow Detection
SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More
AI driven shadow model detection in agropv farms
Explicit Visual Prompting for Low-Level Structure Segmentations
ShaDocNet: Learning Spatial-Aware Tokens in Transformer for Document Shadow Removal
Video Instance Shadow Detection Under the Sun and Sky
SCOTCH and SODA: A Transformer Video Shadow Detection Framework
Automated segmentation of microvessels in intravascular OCT images using deep learning
Complicated Background Suppression of ViSAR Image For Moving Target Shadow Detection
Learning Shadow Correspondence for Video Shadow Detection
Instance Shadow Detection with A Single-Stage Detector
Shadow-Background-Noise 3D Spatial Decomposition Using Sparse Low-Rank Gaussian Properties for Video-SAR Moving Target Shadow Enhancement
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.