Imagen de Portada

Comparison of Different Deep Neural Network Models in the Cultural Heritage Domain

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Boyadzhiev, Teodor, Lagani, Gabriele, Ciampi, Luca, Amato, Giuseppe, Ivanova, Krassimira
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Semi-Supervised Biomedical Image Segmentation via Diffusion Models and Teacher-Student Co-Training
por: Ciampi, Luca, et al.
Publicado: (2025)

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging
por: Ciampi, Luca, et al.
Publicado: (2024)

Neuro-Inspired Visual Pattern Recognition via Biological Reservoir Computing
por: Ciampi, Luca, et al.
Publicado: (2026)

CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge
por: Lagani, Gabriele, et al.
Publicado: (2025)

From Neural Activity to Computation: Biological Reservoirs for Pattern Recognition in Digit Classification
por: Iannello, Ludovico, et al.
Publicado: (2025)

ICFRNet: Image Complexity Prior Guided Feature Refinement for Real-time Semantic Segmentation
por: Zhang, Xin, et al.
Publicado: (2024)

From Neurons to Computation: Biological Reservoir Computing for Pattern Recognition
por: Iannello, Ludovico, et al.
Publicado: (2025)

CountingDINO: A Training-free Pipeline for Class-Agnostic Counting using Unsupervised Backbones
por: Pacini, Giacomo, et al.
Publicado: (2025)

Mind the Prompt: A Novel Benchmark for Prompt-based Class-Agnostic Counting
por: Ciampi, Luca, et al.
Publicado: (2024)

Does it Really Count? Assessing Semantic Grounding in Text-Guided Class-Agnostic Counting
por: Pacini, Giacomo, et al.
Publicado: (2026)

Hands-Free Heritage: Automated 3D Scanning for Cultural Heritage Digitization
por: Ahmad, Javed, et al.
Publicado: (2025)

A Survey on Class-Agnostic Counting: Advancements from Reference-Based to Open-World Text-Guided Approaches
por: Ciampi, Luca, et al.
Publicado: (2025)

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications
por: Ignatowicz, Jan, et al.
Publicado: (2025)

Augmented Reality in Cultural Heritage: A Dual-Model Pipeline for 3D Artwork Reconstruction
por: Pannone, Daniele, et al.
Publicado: (2025)

Solving Jigsaw Puzzles in the Wild: Human-Guided Reconstruction of Cultural Heritage Fragments
por: Safaei, Omidreza, et al.
Publicado: (2026)

Gaussian Heritage: 3D Digitization of Cultural Heritage with Integrated Object Segmentation
por: Dahaghin, Mahtab, et al.
Publicado: (2024)

BADGR: Bundle Adjustment Diffusion Conditioned by GRadients for Wide-Baseline Floor Plan Reconstruction
por: Li, Yuguang, et al.
Publicado: (2025)

Diffusion Based Augmentation for Captioning and Retrieval in Cultural Heritage
por: Cioni, Dario, et al.
Publicado: (2023)

Cultural Heritage 3D Reconstruction with Diffusion Networks
por: Jaramillo, Pablo, et al.
Publicado: (2024)

Explainable Search and Discovery of Visual Cultural Heritage Collections with Multimodal Large Language Models
por: Arnold, Taylor, et al.
Publicado: (2024)

Towards Cross-modal Retrieval in Chinese Cultural Heritage Documents: Dataset and Solution
por: Yuan, Junyi, et al.
Publicado: (2025)

Leaky ReLUs That Differ in Forward and Backward Pass Facilitate Activation Maximization in Deep Neural Networks
por: Linse, Christoph, et al.
Publicado: (2024)

Multimodal Metadata Assignment for Cultural Heritage Artifacts
por: Rei, Luis, et al.
Publicado: (2024)

Uncertainty Propagation in XAI: A Comparison of Analytical and Empirical Estimators
por: Chiaburu, Teodor, et al.
Publicado: (2025)

The Comparison of Individual Cat Recognition Using Neural Networks
por: Li, Mingxuan, et al.
Publicado: (2024)

A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations
por: Cheng, Hongrong, et al.
Publicado: (2023)

VIXEN: Visual Text Comparison Network for Image Difference Captioning
por: Black, Alexander, et al.
Publicado: (2024)

Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations
por: Tartaglini, Alexa R., et al.
Publicado: (2023)

What does CLIP know about peeling a banana?
por: Cuttano, Claudia, et al.
Publicado: (2024)

Rapid Salient Object Detection with Difference Convolutional Neural Networks
por: Su, Zhuo, et al.
Publicado: (2025)

Assessing the Generalizability of Deep Neural Networks-Based Models for Black Skin Lesions
por: Barros, Luana, et al.
Publicado: (2023)

Energy Backdoor Attack to Deep Neural Networks
por: Meftah, Hanene F. Z. Brachemi, et al.
Publicado: (2025)

Just Noticeable Difference Modeling for Deep Visual Features
por: Zhao, Rui, et al.
Publicado: (2026)

Multiple Domain Generalization Using Category Information Independent of Domain Differences
por: Saito, Reiji, et al.
Publicado: (2026)

CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision Models
por: Chiaburu, Teodor, et al.
Publicado: (2024)

SAMWISE: Infusing Wisdom in SAM2 for Text-Driven Video Segmentation
por: Cuttano, Claudia, et al.
Publicado: (2024)

LLM-Driven Completeness and Consistency Evaluation for Cultural Heritage Data Augmentation in Cross-Modal Retrieval
por: Zhang, Jian, et al.
Publicado: (2025)

SALVe: Semantic Alignment Verification for Floorplan Reconstruction from Sparse Panoramas
por: Lambert, John, et al.
Publicado: (2024)

FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model
por: Li, Yuanwei, et al.
Publicado: (2024)

Character Recognition in Byzantine Seals with Deep Neural Networks
por: Rageau, Théophile, et al.
Publicado: (2024)