Superpixels

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Most implemented papers archive 2025-07-28

30 shown of 108 papers with code (371 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.

• COCO-Stuff: Thing and Stuff Classes in Context
  12 Dec 2016 10 repositories listed Syntology ran 1 of 29 samples · 28 unverified
  To understand stuff and things in context we introduce COCO-Stuff, which augments all 164K images of the COCO 2017 dataset with pixel-wise annotations for 91 stuff classes.
• Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation
  20 Jul 2020 4 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  Few-shot semantic segmentation (FSS) has great potential for medical imaging applications.
• Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
  18 Nov 2014 4 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  In this paper we address three different computer vision tasks using a single basic architecture: depth prediction, surface normal estimation, and semantic labeling.
• Robust Semantic Segmentation with Superpixel-Mix
  2 Aug 2021 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Along with predictive performance and runtime speed, reliability is a key requirement for real-world semantic segmentation.
• Affinity Fusion Graph-based Framework for Natural Image Segmentation
  24 Jun 2020 2 repositories listed
  The proposed framework combines adjacency-graphs and kernel spectral clustering based graphs (KSC-graphs) according to a new definition named affinity nodes of multi-scale superpixels.
• SLIC-UAV: A Method for monitoring recovery in tropical restoration projects through identification of signature species using UAVs
  11 Jun 2020 2 repositories listed
  To demonstrate SLIC-UAV, support vector machines and random forests were used to predict the species of hand-labelled crowns in a restoration concession in Indonesia.
• A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes
  24 Dec 2018 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Hence, we propose a curriculum-style learning approach to minimizing the domain gap in urban scene semantic segmentation.
• Let's take a Walk on Superpixels Graphs: Deformable Linear Objects Segmentation and Model Estimation
  10 Oct 2018 2 repositories listed
  While robotic manipulation of rigid objects is quite straightforward, coping with deformable objects is an open issue.
• Automatic skin lesion segmentation on dermoscopic images by the means of superpixel merging
  21 Aug 2018 2 repositories listed
  We present a superpixel-based strategy for segmenting skin lesion on dermoscopic images.
• Superpixel Sampling Networks
  26 Jul 2018 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  Superpixels provide an efficient low/mid-level representation of image data, which greatly reduces the number of image primitives for subsequent vision tasks.
• Non-Local Deep Features for Salient Object Detection
  1 Jul 2017 2 repositories listed
  Saliency detection aims to highlight the most relevant objects in an image.
• Superpixels: An Evaluation of the State-of-the-Art
  6 Dec 2016 2 repositories listed
  As such, and due to their quick adoption in a wide range of applications, appropriate benchmarks are crucial for algorithm selection and comparison.
• Learning to Segment Object Candidates
  20 Jun 2015 2 repositories listed
  Recent object detection systems rely on two critical steps: (1) a set of object proposals is predicted as efficiently as possible, and (2) this set of candidate proposals is then passed to an object classifier.
• Inner and Inter Label Propagation: Salient Object Detection in the Wild
  27 May 2015 2 repositories listed
  For most natural images, some boundary superpixels serve as the background labels and the saliency of other superpixels are determined by ranking their similarities to the boundary labels based on an inner propagation…
• Structural-Spectral Graph Convolution with Evidential Edge Learning for Hyperspectral Image Clustering
  11 Jun 2025 1 repository listed
  Hyperspectral image (HSI) clustering assigns similar pixels to the same class without any annotations, which is an important yet challenging task.
• Superpixel Tokenization for Vision Transformers: Preserving Semantic Integrity in Visual Tokens
  6 Dec 2024 1 repository listed Syntology ran 0 of 2 samples · 2 unverified
  Transformers, a groundbreaking architecture proposed for Natural Language Processing (NLP), have also achieved remarkable success in Computer Vision.
• STA-Unet: Rethink the semantic redundant for Medical Imaging Segmentation
  13 Oct 2024 1 repository listed
  In particular, deep neural networks based on a U-shaped architecture (UNet) with skip connections have been adopted for several medical imaging tasks, including organ segmentation.
• A comprehensive review and new taxonomy on superpixel segmentation
  27 Sep 2024 1 repository listed
  Superpixel segmentation consists of partitioning images into regions composed of similar and connected pixels.
• ESA: Annotation-Efficient Active Learning for Semantic Segmentation
  24 Aug 2024 1 repository listed
  Active learning enhances annotation efficiency by selecting the most revealing samples for labeling, thereby reducing reliance on extensive human input.
• Persistence Image from 3D Medical Image: Superpixel and Optimized Gaussian Coefficient
  15 Aug 2024 1 repository listed
  Topological data analysis (TDA) uncovers crucial properties of objects in medical imaging.
• Deep Spherical Superpixels
  24 Jul 2024 1 repository listed
  Over the years, the use of superpixel segmentation has become very popular in various applications, serving as a preprocessing step to reduce data size by adapting to the content of the image, regardless of its semantic…
• Hierarchical Homogeneity-Based Superpixel Segmentation: Application to Hyperspectral Image Analysis
  22 Jul 2024 1 repository listed
  Recently, the combination of spectral-spatial information and superpixel techniques have addressed some hyperspectral data issues, such as the higher spatial variability of spectral signatures and dimensionality of the…
• SuperSVG: Superpixel-based Scalable Vector Graphics Synthesis
  14 Jun 2024 1 repository listed
  Then, we propose a two-stage self-training framework, where a coarse-stage model is employed to reconstruct the main structure and a refinement-stage model is used for enriching the details.
• Heterogeneous Network Based Contrastive Learning Method for PolSAR Land Cover Classification
  29 Mar 2024 1 repository listed
  Besides, this work has implications for how to efficiently utilize the multi-features of PolSAR data to learn better high-level representation in CL and how to construct networks suitable for PolSAR data better.
• Active Label Correction for Semantic Segmentation with Foundation Models
  16 Mar 2024 1 repository listed
  Training and validating models for semantic segmentation require datasets with pixel-wise annotations, which are notoriously labor-intensive.
• Superpixel Graph Contrastive Clustering with Semantic-Invariant Augmentations for Hyperspectral Images
  4 Mar 2024 1 repository listed
  The state-of-the-art (SOTA) methods usually rely on superpixels, however, they do not fully utilize the spatial and spectral information in HSI 3-D structure, and their optimization targets are not clustering-oriented.
• SLICE: Stabilized LIME for Consistent Explanations for Image Classification
  1 Jan 2024 1 repository listed
  Explanations are then extracted for a black-box model and a given IE using the surrogate model.
• Superpixel-based and Spatially-regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering
  24 Dec 2023 1 repository listed
  However, the high dimensionality, presence of noise and outliers, and the need for precise labels of HSIs present significant challenges to HSIs analysis, motivating the development of performant HSI clustering…
• Connecting the Dots: Graph Neural Network Powered Ensemble and Classification of Medical Images
  13 Nov 2023 1 repository listed
  Deep learning models have demonstrated remarkable results for various computer vision tasks, including the realm of medical imaging.
• Learning Semantic Segmentation with Query Points Supervision on Aerial Images
  11 Sep 2023 1 repository listed
  In this work, we present a weakly supervised learning algorithm to train semantic segmentation algorithms that only rely on query point annotations instead of full mask labels.

Syntology lines on 7 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.