Cover Image

DropCluster: A structured dropout for convolutional networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Liyan, Mordohai, Philippos, Aydore, Sergul
Format:	Preprint
Published:	2020
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Radiant Triangle Soup with Soft Connectivity Forces for 3D Reconstruction and Novel View Synthesis
by: Burgdorfer, Nathaniel, et al.
Published: (2025)

Understanding while Exploring: Semantics-driven Active Mapping
by: Chen, Liyan, et al.
Published: (2025)

Kinematic analysis of structural mechanics based on convolutional neural network
by: Zhang, Leye, et al.
Published: (2024)

Multi-task convolutional neural network for image aesthetic assessment
by: Soydaner, Derya, et al.
Published: (2023)

Detection of retinal diseases using an accelerated reused convolutional network
by: Kasani, Amin Ahmadi, et al.
Published: (2025)

Neighbor-aware informal settlement mapping with graph convolutional networks
by: Hallopeau, Thomas, et al.
Published: (2025)

Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction
by: Sun, Bo, et al.
Published: (2025)

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception
by: Joyce, Eric C., et al.
Published: (2025)

Reduced storage direct tensor ring decomposition for convolutional neural networks compression
by: Gabor, Mateusz, et al.
Published: (2024)

Tensor network compressibility of convolutional models
by: Singh, Sukhbinder, et al.
Published: (2024)

Moment kernels: a simple and scalable approach for equivariance to rotations and reflections in deep convolutional networks
by: Schlamowitz, Zachary, et al.
Published: (2025)

Hand bone age estimation using divide and conquer strategy and lightweight convolutional neural networks
by: Kasani, Amin Ahmadi, et al.
Published: (2024)

CFIRSTNET: Comprehensive Features for Static IR Drop Estimation with Neural Network
by: Liu, Yu-Tung, et al.
Published: (2025)

Enhancing convolutional neural network generalizability via low-rank weight approximation
by: Gao, Chenyin, et al.
Published: (2022)

MPCM-Net: Multi-scale network integrates partial attention convolution with Mamba for ground-based cloud image segmentation
by: Niu, Penghui, et al.
Published: (2025)

Robust deep labeling of radiological emphysema subtypes using squeeze and excitation convolutional neural networks: The MESA Lung and SPIROMICS Studies
by: Wysoczanski, Artur, et al.
Published: (2024)

Enhancing compact convolutional transformers with super attention
by: Leandre, Simpenzwe Honore, et al.
Published: (2025)

CeCNN: Copula-enhanced convolutional neural networks in joint prediction of refraction error and axial length based on ultra-widefield fundus images
by: Zhong, Chong, et al.
Published: (2023)

From Drops to Grid: Noise-Aware Spatio-Temporal Neural Process for Rainfall Estimation
by: Sarabia, Rafael Pablos, et al.
Published: (2026)

Permutation-equivariant quantum convolutional neural networks
by: Das, Sreetama, et al.
Published: (2024)

Characterization of topological structures in different neural network architectures
by: Świder, Paweł
Published: (2024)

SELECTOR: Heterogeneous graph network with convolutional masked autoencoder for multimodal robust prediction of cancer survival
by: Pan, Liangrui, et al.
Published: (2024)

Extracting real estate values of rental apartment floor plans using graph convolutional networks
by: Takizawa, Atsushi
Published: (2023)

Spectral structural distortion reveals redundant neurons in neural networks
by: Wang, Yongyu
Published: (2026)

ClusterTabNet: Supervised clustering method for table detection and table structure recognition
by: Polewczyk, Marek, et al.
Published: (2024)

AttentionDrop: A Novel Regularization Method for Transformer Models
by: Baig, Mirza Samad Ahmed, et al.
Published: (2025)

Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement
by: Xue, Yuyang, et al.
Published: (2023)

CWFBind: Geometry-Awareness for Fast and Accurate Protein-Ligand Docking
by: Jia, Liyan, et al.
Published: (2025)

The role of data embedding in equivariant quantum convolutional neural networks
by: Das, Sreetama, et al.
Published: (2023)

Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge
by: Wang, Jingge, et al.
Published: (2022)

Drop-In Perceptual Optimization for 3D Gaussian Splatting
by: Ozyilkan, Ezgi, et al.
Published: (2026)

From Drop-off to Recovery: A Mechanistic Analysis of Segmentation in MLLMs
by: Wu, Boyong, et al.
Published: (2026)

Towards Robust Nonlinear Subspace Clustering: A Kernel Learning Approach
by: Xu, Kunpeng, et al.
Published: (2025)

Image space formalism of convolutional neural networks for k-space interpolation
by: Dawood, Peter, et al.
Published: (2024)

Explicit View-labels Matter: A Multifacet Complementarity Study of Multi-view Clustering
by: Geng, Chuanxing, et al.
Published: (2022)

Multi-level Cross-modal Alignment for Image Clustering
by: Qiu, Liping, et al.
Published: (2024)

MetaCluster: Enabling Deep Compression of Kolmogorov-Arnold Network
by: Raffel, Matthew, et al.
Published: (2025)

Partial Multi-View Clustering via Meta-Learning and Contrastive Feature Alignment
by: Chen, BoHao
Published: (2024)

Generative artificial intelligence in ophthalmology: multimodal retinal images for the diagnosis of Alzheimer's disease with convolutional neural networks
by: Slootweg, I. R., et al.
Published: (2024)

Hyperbolic Enhanced Representation Learning for Incomplete Multi-view Clustering
by: Chen, Tianyi, et al.
Published: (2026)