Shadow Detection

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 46 papers with code (79 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal
  7 Dec 2017 5 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Specifically, a shadow image is fed into the first generator which produces a shadow detection mask.
• Cloud and Cloud Shadow Segmentation for Remote Sensing Imagery via Filtered Jaccard Loss Function and Parametric Augmentation
  23 Jan 2020 3 repositories listed
  Cloud and cloud shadow segmentation are fundamental processes in optical remote sensing image analysis.
• Instance Shadow Detection
  16 Nov 2019 3 repositories listed
  Then, we pair up the predicted shadow and object instances, and match them with the predicted shadow-object associations to generate the final results.
• Explicit Visual Prompting for Universal Foreground Segmentations
  29 May 2023 2 repositories listed
  We take inspiration from the widely-used pre-training and then prompt tuning protocols in NLP and propose a new visual prompting model, named Explicit Visual Prompting (EVP).
• Instance Shadow Detection with A Single-Stage Detector
  11 Jul 2022 2 repositories listed
  This paper formulates a new problem, instance shadow detection, which aims to detect shadow instance and the associated object instance that cast each shadow in the input image.
• SpA-Former: Transformer image shadow detection and removal via spatial attention
  22 Jun 2022 2 repositories listed
  In this paper, we propose an end-to-end SpA-Former to recover a shadow-free image from a single shaded image.
• Revisiting Shadow Detection: A New Benchmark Dataset for Complex World
  16 Nov 2019 2 repositories listed
  Shadow detection in general photos is a nontrivial problem, due to the complexity of the real world.
• Direction-aware Spatial Context Features for Shadow Detection and Removal
  12 May 2018 2 repositories listed Syntology ran 1 of 2 samples · 1 unverified
  This paper presents a novel deep neural network design for shadow detection and removal by analyzing the spatial image context in a direction-aware manner.
• Direction-aware Spatial Context Features for Shadow Detection
  12 Dec 2017 2 repositories listed
  To achieve this, we first formulate the direction-aware attention mechanism in a spatial recurrent neural network (RNN) by introducing attention weights when aggregating spatial context features in the RNN.
• When SAM2 Meets Video Shadow and Mirror Detection
  26 Dec 2024 1 repository listed
  As the successor to the Segment Anything Model (SAM), the Segment Anything Model 2 (SAM2) not only improves performance in image segmentation but also extends its capabilities to video segmentation.
• Unveiling Deep Shadows: A Survey and Benchmark on Image and Video Shadow Detection, Removal, and Generation in the Deep Learning Era
  3 Sep 2024 1 repository listed
  Shadows are created when light encounters obstacles, resulting in regions of reduced illumination.
• RenDetNet: Weakly-supervised Shadow Detection with Shadow Caster Verification
  30 Aug 2024 1 repository listed
  Existing shadow detection models struggle to differentiate dark image areas from shadows.
• Timeline and Boundary Guided Diffusion Network for Video Shadow Detection
  21 Aug 2024 1 repository listed
  Moreover, we are the first to introduce the Diffusion model for VSD in which we explore a Space-Time Encoded Embedding (STEE) to inject the temporal guidance for Diffusion to conduct shadow detection.
• Language-Driven Interactive Shadow Detection
  16 Aug 2024 1 repository listed
  Based on this dataset, we propose a Referring Shadow-Track Memory Network (RSM-Net) for addressing the RVSD task.
• SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More
  8 Aug 2024 1 repository listed Syntology ran 3 of 5 samples · 2 unverified
  The advent of large models, also known as foundation models, has significantly transformed the AI research landscape, with models like Segment Anything (SAM) achieving notable success in diverse image segmentation…
• SwinShadow: Shifted Window for Ambiguous Adjacent Shadow Detection
  7 Aug 2024 1 repository listed
  In this case, when the color of the object is similar to that of the shadow, existing methods struggle to achieve accurate detection.
• CloudS2Mask: A novel deep learning approach for improved cloud and cloud shadow masking in Sentinel-2 imagery
  15 May 2024 1 repository listed
  Precise and efficient cloud and cloud shadow masking methods are required for the automated use of this data.
• NTIRE 2023 Image Shadow Removal Challenge Technical Report: Team IIM_TTI
  13 Mar 2024 1 repository listed
  In this paper, we analyze and discuss ShadowFormer in preparation for the NTIRE2023 Shadow Removal Challenge [1], implementing five key improvements: image alignment, the introduction of a perceptual quality loss…
• Delving into Dark Regions for Robust Shadow Detection
  21 Feb 2024 1 repository listed
  Our key insight to this problem is that existing methods typically learn discriminative shadow features from the whole image globally, covering the full range of intensity values, and may not learn the subtle…
• AdapterShadow: Adapting Segment Anything Model for Shadow Detection
  15 Nov 2023 1 repository listed
  To adapt SAM for shadow images, trainable adapters are inserted into the frozen image encoder of SAM, since the training of the full SAM model is both time and memory consuming.
• SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels
  23 Aug 2023 1 repository listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  Existing shadow detection datasets often contain missing or mislabeled shadows, which can hinder the performance of deep learning models trained directly on such data.
• DESOBAv2: Towards Large-scale Real-world Dataset for Shadow Generation
  19 Aug 2023 1 repository listed
  In this work, we focus on generating plausible shadow for the inserted foreground object to make the composite image more realistic.
• SDDNet: Style-guided Dual-layer Disentanglement Network for Shadow Detection
  17 Aug 2023 1 repository listed
  Despite significant progress in shadow detection, current methods still struggle with the adverse impact of background color, which may lead to errors when shadows are present on complex backgrounds.
• SAM-helps-Shadow:When Segment Anything Model meet shadow removal
  1 Jun 2023 1 repository listed
  The challenges surrounding the application of image shadow removal to real-world images and not just constrained datasets like ISTD/SRD have highlighted an urgent need for zero-shot learning in this field.
• Detect Any Shadow: Segment Anything for Video Shadow Detection
  26 May 2023 1 repository listed
  Segment anything model (SAM) has achieved great success in the field of natural image segmentation.
• When SAM Meets Shadow Detection
  19 May 2023 1 repository listed
  As a promptable generic object segmentation model, segment anything model (SAM) has recently attracted significant attention, and also demonstrates its powerful performance.
• SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More
  18 Apr 2023 1 repository listed
  We can even outperform task-specific network models and achieve state-of-the-art performance in the task we tested: camouflaged object detection, shadow detection.
• Explicit Visual Prompting for Low-Level Structure Segmentations
  20 Mar 2023 1 repository listed Syntology ran 4 of 4 samples · 0 unverified
  Different from the previous visual prompting which is typically a dataset-level implicit embedding, our key insight is to enforce the tunable parameters focusing on the explicit visual content from each individual…
• Adaptive Illumination Mapping for Shadow Detection in Raw Images
  1 Jan 2023 1 repository listed
  In this paper, we propose a novel method to detect shadows from raw images.
• ShaDocNet: Learning Spatial-Aware Tokens in Transformer for Document Shadow Removal
  30 Nov 2022 1 repository listed
  Shadow removal improves the visual quality and legibility of digital copies of documents.

Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.