conftrace_

normalized cut

24 papers

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Also known as

NCUT

Co-occurring keywords

spectral clustering (305) image segmentation (971) graph partitioning (65) graph clustering (195) semantic segmentation (3186) zero-shot learning (3650) balanced cut (4) graph cut (89) ratio cut (5) unsupervised object discovery (16)

Papers

Unsupervised Segmentation by Diffusing, Walking and Cutting WACV 2026
CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers CVPR 2024
DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut NIPS 2024
Multidimensional Fractional Programming for Normalized Cuts NIPS 2024
Understanding the Generalization Performance of Spectral Clustering Algorithms AAAI 2023
Self-Supervised Transformers for Unsupervised Object Discovery Using Normalized Cut CVPR 2022
Normalized Cut Loss for Weakly-Supervised CNN Segmentation CVPR 2018
Compassionately Conservative Balanced Cuts for Image Segmentation CVPR 2018
Inhomogeneous Hypergraph Clustering with Applications NIPS 2017
Orthogonal and Nonnegative Graph Reconstruction for Large Scale Clustering IJCAI 2017
Scalable Normalized Cut with Improved Spectral Rotation IJCAI 2017
Superpixel Segmentation Using Linear Spectral Clustering CVPR 2015
Matrix Backpropagation for Deep Networks With Structured Layers ICCV 2015
Semi-Supervised Normalized Cuts for Image Segmentation ICCV 2015
SOLD: Sub-Optimal Low-rank Decomposition for Efficient Video Segmentation CVPR 2015
Tight Continuous Relaxation of the Balanced k-Cut Problem NIPS 2014
Multiscale Combinatorial Grouping CVPR 2014
Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation CVPR 2014
Progressive Multigrid Eigensolvers for Multiscale Spectral Segmentation ICCV 2013
Towards Fast and Accurate Segmentation CVPR 2013
Constrained 1-Spectral Clustering AISTATS 2012
Distributed Localization of Modular Robot Ensembles RSS 2008
Influence of graph construction on graph-based clustering measures NIPS 2008
Fundamental Limitations of Spectral Clustering NIPS 2006