Cover Image

Learning Hierarchical Image Segmentation For Recognition and By Recognition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ke, Tsung-Wei, Mo, Sangwoo, Yu, Stella X.
Format:	Preprint
Published:	2022
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning I.4.6; I.4.10; I.5.3
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Label-independent hyperparameter-free self-supervised single-view deep subspace clustering
by: Sindicic, Lovro, et al.
Published: (2025)

A Hierarchical Self-Consistent Regularization Approach to Satellite Image Time Series Classification
by: Weikmann, Giulio, et al.
Published: (2025)

Studying Maps at Scale: A Digital Investigation of Cartography and the Evolution of Figuration
by: Petitpierre, Remi
Published: (2025)

Interpretable label-free self-guided subspace clustering
by: Kopriva, Ivica
Published: (2024)

Generalizable Multiscale Segmentation of Heterogeneous Map Collections
by: Petitpierre, Remi
Published: (2026)

HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training
by: Tang, Fenghe, et al.
Published: (2024)

Image Prior and Posterior Conditional Probability Representation for Efficient Damage Assessment
by: Wei, Jie, et al.
Published: (2023)

Differentiable Hierarchical Visual Tokenization
by: Aasan, Marius, et al.
Published: (2025)

Feature-Augmented Deep Networks for Multiscale Building Segmentation in High-Resolution UAV and Satellite Imagery
by: Maniyar, Chintan B., et al.
Published: (2025)

TUMLS: Trustful Fully Unsupervised Multi-Level Segmentation for Whole Slide Images of Histology
by: Rehamnia, Walid, et al.
Published: (2025)

A Storage-Efficient Feature for 3D Concrete Defect Segmentation to Replace Normal Vector
by: Hua, Linxin, et al.
Published: (2025)

Dense Self-Supervised Learning for Medical Image Segmentation
by: Seince, Maxime, et al.
Published: (2024)

Lost in Latent Space: Disentangled Models and the Challenge of Combinatorial Generalisation
by: Montero, Milton L., et al.
Published: (2022)

Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and Multi-Lens Distortion
by: Oskouei, Soroush, et al.
Published: (2024)

FAME: Feature Activation Map Explanation on Image Classification and Face Recognition
by: Zhang, Xinyi, et al.
Published: (2026)

Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning
by: Semenov, Andrei, et al.
Published: (2024)

Automated Pollen Recognition in Optical and Holographic Microscopy Images
by: Warshaneyan, Swarn Singh, et al.
Published: (2025)

AI-Augmented Pollen Recognition in Optical and Holographic Microscopy for Veterinary Imaging
by: Warshaneyan, Swarn S., et al.
Published: (2025)

Normalizing Flow-Based Metric for Image Generation
by: Jeevan, Pranav, et al.
Published: (2024)

Learning 3D object-centric representation through prediction
by: Day, John, et al.
Published: (2024)

Deep Global Clustering for Hyperspectral Image Segmentation: Concepts, Applications, and Open Challenges
by: Chang, Yu-Tang, et al.
Published: (2025)

Semi-Supervised Segmentation via Embedding Matching
by: Xie, Weiyi, et al.
Published: (2024)

Advancing Annotat3D with Harpia: A CUDA-Accelerated Library For Large-Scale Volumetric Data Segmentation
by: de Araujo, Camila Machado, et al.
Published: (2025)

CCVA-FL: Cross-Client Variations Adaptive Federated Learning for Medical Imaging
by: Gupta, Sunny, et al.
Published: (2024)

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation
by: Glisson, Calvin, et al.
Published: (2024)

Canonical Space Representation for 4D Panoptic Segmentation of Articulated Objects
by: Gomes, Manuel, et al.
Published: (2025)

Pointing-Based Object Recognition
by: Hajdúch, Lukáš, et al.
Published: (2026)

Gaussian Splatting: 3D Reconstruction and Novel View Synthesis, a Review
by: Dalal, Anurag, et al.
Published: (2024)

WaveMix: A Resource-efficient Neural Network for Image Analysis
by: Jeevan, Pranav, et al.
Published: (2022)

Prototype Contrastive Consistency Learning for Semi-Supervised Medical Image Segmentation
by: He, Shihuan, et al.
Published: (2025)

Towards Onboard Continuous Change Detection for Floods
by: Kyselica, Daniel, et al.
Published: (2026)

Hierarchical Image-Guided 3D Point Cloud Segmentation in Industrial Scenes via Multi-View Bayesian Fusion
by: Zhu, Yu, et al.
Published: (2025)

FLD+: Data-efficient Evaluation Metric for Generative Models
by: Jeevan, Pranav, et al.
Published: (2024)

WaveMixSR-V2: Enhancing Super-resolution with Higher Efficiency
by: Jeevan, Pranav, et al.
Published: (2024)

Exploiting Causality Signals in Medical Images: A Pilot Study with Empirical Results
by: Carloni, Gianluca, et al.
Published: (2023)

Evaluation Metric for Quality Control and Generative Models in Histopathology Images
by: Jeevan, Pranav, et al.
Published: (2024)

Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance
by: Kashyap, Pankhi, et al.
Published: (2024)

SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images
by: Xie, Weiyi, et al.
Published: (2024)

Prompt-Driven Building Footprint Extraction in Aerial Images with Offset-Building Model
by: Li, Kai, et al.
Published: (2023)

Multilayer Graph Approach to Deep Subspace Clustering
by: Sindičić, Lovro, et al.
Published: (2024)