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Superpixels

Superpixel techniques segment an image into regions based on similarity measures that utilize perceptual features, effectively grouping pixels that appear similar. The motivation behind this approach is to generate regions that provide meaningful descriptions while significantly reducing the data volume compared to using every individual pixel. By decreasing the number of primitives, these techniques reduce redundancy and simplify the complexity of recognition tasks. Superpixels replace the rigid structure of individual pixels with delineated regions that preserve meaningful content in the image, thereby aiding the interpretation of the scene’s structure and simplifying subsequent processing tasks. Generally, superpixel techniques rely on measures that evaluate color similarities and the shapes of regions, incorporating edges or significant changes in intensity to define these regions.

Papers

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Showing 151–200 of 371 papers

TitleStatusHype
A Video Representation Using Temporal Superpixels—0
A Weighted Sparse Coding Framework for Saliency Detection—0
Boosting Convolutional Features for Robust Object Proposals—0
Capturing global spatial context for accurate cell classification in skin cancer histology—0
Cascaded Scene Flow Prediction using Semantic Segmentation—0
Classifier Based Graph Construction for Video Segmentation—0
Closed-Loop Adaptation for Weakly-Supervised Semantic Segmentation—0
Combining Multi-level Contexts of Superpixel using Convolutional Neural Networks to perform Natural Scene Labeling—0
Complementary Segmentation of Primary Video Objects with Reversible Flows—0
Complexity-Adaptive Distance Metric for Object Proposals Generation—0
Composite Statistical Inference for Semantic Segmentation—0
Context Propagation from Proposals for Semantic Video Object Segmentation—0
Contour-Constrained Superpixels for Image and Video Processing—0
Co-occurrence Background Model with Superpixels for Robust Background Initialization—0
Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images—0
Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing—0
Structured Depth Prediction in Challenging Monocular Video Sequences—0
SuperPatchMatch: an Algorithm for Robust Correspondences using Superpixel Patches—0
Superpixel-Based Background Recovery from Multiple Images—0
Superpixel based Class-Semantic Texton Occurrences for Natural Roadside Vegetation Segmentation—0
Superpixel-based Color Transfer—0
Superpixel Based Graph Laplacian Regularization for Sparse Hyperspectral Unmixing—0
Superpixel Based Segmentation and Classification of Polyps in Wireless Capsule Endoscopy—0
Superpixel-Based Tracking-By-Segmentation Using Markov Chains—0
Superpixel-based Two-view Deterministic Fitting for Multiple-structure Data—0
Superpixel Cost Volume Excitation for Stereo Matching—0
Deep Superpixel Generation and Clustering for Weakly Supervised Segmentation of Brain Tumors in MR Images—0
SuperpixelGraph: Semi-automatic generation of building footprint through semantic-sensitive superpixel and neural graph networks—0
Superpixel-guided Two-view Deterministic Geometric Model Fitting—0
Superpixel-informed Implicit Neural Representation for Multi-Dimensional Data—0
Superpixelizing Binary MRF for Image Labeling Problems—0
Superpixel Meshes for Fast Edge-Preserving Surface Reconstruction—0
Superpixel Pre-Segmentation of HER2 Slides for Efficient Annotation—0
Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress from Aerial Imagery—0
Superpixels and Polygons Using Simple Non-Iterative Clustering—0
Superpixels Based Marker Tracking Vs. Hue Thresholding In Rodent Biomechanics Application—0
Superpixels Based Segmentation and SVM Based Classification Method to Distinguish Five Diseases from Normal Regions in Wireless Capsule Endoscopy—0
Superpixel Segmentation: A Long-Lasting Ill-Posed Problem—0
Superpixel Segmentation Based on Spatially Constrained Subspace Clustering—0
Superpixel Segmentation Using Linear Spectral Clustering—0
Superpixel Tensor Pooling for Visual Tracking using Multiple Midlevel Visual Cues Fusion—0
Superpixel Transformers for Efficient Semantic Segmentation—0
Super-Trajectories: A Compact Yet Rich Video Representation—0
Survey of Image Based Graph Neural Networks—0
SymmSLIC: Symmetry Aware Superpixel Segmentation and its Applications—0
Tech Report: A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing—0
Tech Report: A Homogeneity-Based Multiscale Hyperspectral Image Representation for Sparse Spectral Unmixing—0
Tell Me What You See and I will Show You Where It Is—0
Temporal Superpixels Based on Proximity-Weighted Patch Matching—0
Tensor Alignment Based Domain Adaptation for Hyperspectral Image Classification—0
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