{"total":52,"rows":[{"id":"2104.01893","title":"Adaptive Prototype Learning and Allocation for Few-Shot Segmentation","created":"2021-04-05","cited_by_count":207,"area":null},{"id":"2204.02337","title":"Multi-Scale Representation Learning on Proteins","created":"2022-04-04","cited_by_count":52,"area":null},{"id":"2203.02048","title":"Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels","created":"2022-03-03","cited_by_count":42,"area":null},{"id":"2210.13915","title":"Towards Formal XAI: Formally Approximate Minimal Explanations of Neural Networks","created":"2022-10-25","cited_by_count":42,"area":null},{"id":"2405.05259","title":"OpenESS: Event-based Semantic Scene Understanding with Open Vocabularies","created":"2024-05-08","cited_by_count":38,"area":null},{"id":"2212.03967","title":"Few-shot Medical Image Segmentation with Cycle-resemblance Attention","created":"2022-12-07","cited_by_count":33,"area":null},{"id":"2305.02187","title":"CLUSTSEG: Clustering for Universal Segmentation","created":"2023-05-03","cited_by_count":32,"area":null},{"id":"2402.14327","title":"Subobject-level Image Tokenization","created":"2024-02-22","cited_by_count":21,"area":null},{"id":"2104.08885","title":"A survey of image labelling for computer vision applications","created":"2021-04-18","cited_by_count":18,"area":null},{"id":"2507.01955","title":"How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks","created":"2025-07-02","cited_by_count":14,"area":null},{"id":"2201.12633","title":"Image Classification using Graph Neural Network and Multiscale Wavelet Superpixels","created":"2022-01-29","cited_by_count":10,"area":null},{"id":"2309.09319","title":"Active Learning for Semantic Segmentation with Multi-class Label Query","created":"2023-09-17","cited_by_count":9,"area":null},{"id":"2409.19179","title":"A comprehensive review and new taxonomy on superpixel segmentation","created":"2024-09-27","cited_by_count":8,"area":null},{"id":"2105.06091","title":"Superevents: Towards Native Semantic Segmentation for Event-based Cameras","created":"2021-05-13","cited_by_count":6,"area":null},{"id":"2212.00290","title":"Component Segmentation of Engineering Drawings Using Graph Convolutional Networks","created":"2022-12-01","cited_by_count":5,"area":null},{"id":"2402.18201","title":"Learning Invariant Inter-pixel Correlations for Superpixel Generation","created":"2024-02-28","cited_by_count":5,"area":null},{"id":"2101.04574","title":"Superpixel-based Refinement for Object Proposal Generation","created":"2021-01-12","cited_by_count":4,"area":null},{"id":"2204.03533","title":"Efficient Multiscale Object-based Superpixel Framework","created":"2022-04-07","cited_by_count":4,"area":null},{"id":"2208.03142","title":"BoxShrink: From Bounding Boxes to Segmentation Masks","created":"2022-08-05","cited_by_count":4,"area":null},{"id":"2108.03503","title":"DeepFH Segmentations for Superpixel-based Object Proposal Refinement","created":"2021-08-07","cited_by_count":3,"area":null},{"id":"2307.04137","title":"A Novel Explainable Artificial Intelligence Model in Image Classification problem","created":"2023-07-09","cited_by_count":3,"area":null},{"id":"2308.03382","title":"Enhancing Nucleus Segmentation with HARU-Net: A Hybrid Attention Based Residual U-Blocks Network","created":"2023-08-07","cited_by_count":3,"area":null},{"id":"2509.12791","title":"Superpixel Anything: A general object-based framework for accurate yet regular superpixel segmentation","created":"2025-09-16","cited_by_count":3,"area":null},{"id":"2103.03435","title":"Implicit Integration of Superpixel Segmentation into Fully Convolutional Networks","created":"2021-03-05","cited_by_count":2,"area":null},{"id":"2110.08702","title":"SIN:Superpixel Interpolation Network","created":"2021-10-17","cited_by_count":2,"area":null},{"id":"2207.01375","title":"GraphVid: It Only Takes a Few Nodes to Understand a Video","created":"2022-07-04","cited_by_count":2,"area":null},{"id":"2303.14322","title":"Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA) for Remote Land-use Change Detection","created":"2023-03-25","cited_by_count":2,"area":null},{"id":"2309.13438","title":"Rethinking Superpixel Segmentation from Biologically Inspired Mechanisms","created":"2023-09-23","cited_by_count":2,"area":null},{"id":"2411.06478","title":"Superpixel Segmentation: A Long-Lasting Ill-Posed Problem","created":"2024-11-10","cited_by_count":2,"area":null},{"id":"2103.04872","title":"The Weakly-Labeled Rand Index","created":"2021-03-08","cited_by_count":1,"area":null},{"id":"2112.01746","title":"MSP : Refine Boundary Segmentation via Multiscale Superpixel","created":"2021-12-03","cited_by_count":1,"area":null},{"id":"2407.19148","title":"Few-Shot Medical Image Segmentation with Large Kernel Attention","created":"2024-07-27","cited_by_count":1,"area":null},{"id":"2506.23532","title":"GViT: Representing Images as Gaussians for Visual Recognition","created":"2025-06-30","cited_by_count":1,"area":null},{"id":"2605.00256","title":"Remote SAMsing: From Segment Anything to Segment Everything","created":"2026-04-30","cited_by_count":1,"area":null},{"id":"2605.12389","title":"SEMIR: Semantic Minor-Induced Representation Learning on Graphs for Visual Segmentation","created":"2026-05-12","cited_by_count":1,"area":null},{"id":"2102.12213","title":"Unsupervised semantic discovery through visual patterns detection","created":"2021-02-24","cited_by_count":0,"area":null},{"id":"2108.08607","title":"Generating Superpixels for High-resolution Images with Decoupled Patch Calibration","created":"2021-08-19","cited_by_count":0,"area":null},{"id":"2112.11235","title":"Improving Robustness with Image Filtering","created":"2021-12-21","cited_by_count":0,"area":null},{"id":"2205.09949","title":"HCFormer: Unified Image Segmentation with Hierarchical Clustering","created":"2022-05-20","cited_by_count":0,"area":null},{"id":"2212.06756","title":"Connectivity-constrained Interactive Panoptic Segmentation","created":"2022-12-13","cited_by_count":0,"area":null},{"id":"2304.05661","title":"SuperpixelGraph: Semi-automatic generation of building footprint through semantic-sensitive superpixel and neural graph networks","created":"2023-04-12","cited_by_count":0,"area":null},{"id":"2308.14101","title":"Superpixels algorithms through network community detection","created":"2023-08-27","cited_by_count":0,"area":null},{"id":"2407.15321","title":"Hierarchical Homogeneity-Based Superpixel Segmentation: Application to Hyperspectral Image Analysis","created":"2024-07-22","cited_by_count":0,"area":null},{"id":"2509.19895","title":"Generalized Shortest Path-based Superpixels for 3D Spherical Image Segmentation","created":"2025-09-24","cited_by_count":0,"area":null},{"id":"2510.15756","title":"Semantic segmentation with coarse annotations","created":"2025-10-17","cited_by_count":0,"area":null},{"id":"2601.17071","title":"Superpixel-Based Image Segmentation Using Squared 2-Wasserstein Distances","created":"2026-01-22","cited_by_count":0,"area":null},{"id":"2602.06807","title":"SuReNav: Superpixel Graph-based Constraint Relaxation for Navigation in Over-constrained Environments","created":"2026-02-06","cited_by_count":0,"area":null},{"id":"2602.24160","title":"Manifold-Preserving Superpixel Hierarchies and Embeddings for the Exploration of High-Dimensional Images","created":"2026-02-27","cited_by_count":0,"area":null},{"id":"2603.26900","title":"Computer Vision with a Superpixelation Camera","created":"2026-03-27","cited_by_count":0,"area":null},{"id":"2604.11218","title":"H-SPAM: Hierarchical Superpixel Anything Model","created":"2026-04-13","cited_by_count":0,"area":null},{"id":"2605.27144","title":"Is an Image Also Worth 16x16=256 Superpixels? A Framework for Attentional Image Classification","created":"2026-05-26","cited_by_count":0,"area":null},{"id":"2607.24288","title":"Superpixel-Based QUBO for Scalable Quantum-Enhanced Medical Image Segmentation","created":"2026-07-27","cited_by_count":0,"area":null}],"next_cursor":null}