Large-image Object Detection for Fine-grained Recognition of Punches Patterns in Medieval Panel Painting
Fuente:
arXiv
Saved in:
| Main Authors: | Bruegger, Josh, Catana, Diana Ioana, Macovaz, Vanja, Valdenegro-Toro, Matias, Sabatelli, Matthia, Zullich, Marco |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Measuring Orthogonality as the Blind-Spot of Uncertainty Disentanglement
by: de Jong, Ivo Pascal, et al.
Published: (2024)
by: de Jong, Ivo Pascal, et al.
Published: (2024)
Can Bayesian Neural Networks Explicitly Model Input Uncertainty?
by: Valdenegro-Toro, Matias, et al.
Published: (2025)
by: Valdenegro-Toro, Matias, et al.
Published: (2025)
Mapping Transformer Leveraged Embeddings for Cross-Lingual Document Representation
by: Tashu, Tsegaye Misikir, et al.
Published: (2024)
by: Tashu, Tsegaye Misikir, et al.
Published: (2024)
Upside-Down Reinforcement Learning for More Interpretable Optimal Control
by: Cardenas-Cartagena, Juan, et al.
Published: (2024)
by: Cardenas-Cartagena, Juan, et al.
Published: (2024)
Uncertainty in Semantic Language Modeling with PIXELS
by: Radu, Stefania, et al.
Published: (2025)
by: Radu, Stefania, et al.
Published: (2025)
Uncertainty Estimation for Super-Resolution using ESRGAN
by: Adapa, Maniraj Sai, et al.
Published: (2024)
by: Adapa, Maniraj Sai, et al.
Published: (2024)
Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulation
by: Valdenegro-Toro, Matias, et al.
Published: (2024)
by: Valdenegro-Toro, Matias, et al.
Published: (2024)
Sparsity-Driven Plasticity in Multi-Task Reinforcement Learning
by: Todorov, Aleksandar, et al.
Published: (2025)
by: Todorov, Aleksandar, et al.
Published: (2025)
Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning
by: Brouwer, Eric, et al.
Published: (2024)
by: Brouwer, Eric, et al.
Published: (2024)
Fisher-Guided Selective Forgetting: Mitigating The Primacy Bias in Deep Reinforcement Learning
by: Falzari, Massimiliano, et al.
Published: (2025)
by: Falzari, Massimiliano, et al.
Published: (2025)
VDSC: Enhancing Exploration Timing with Value Discrepancy and State Counts
by: Captari, Marius, et al.
Published: (2024)
by: Captari, Marius, et al.
Published: (2024)
$ε$-Optimally Solving Zero-Sum POSGs
by: Escudie, Erwan, et al.
Published: (2024)
by: Escudie, Erwan, et al.
Published: (2024)
On The Presence of Double-Descent in Deep Reinforcement Learning
by: Veselý, Viktor, et al.
Published: (2025)
by: Veselý, Viktor, et al.
Published: (2025)
Video-Driven Graph Network-Based Simulators
by: Szewczyk, Franciszek, et al.
Published: (2024)
by: Szewczyk, Franciszek, et al.
Published: (2024)
Smaller Batches, Bigger Gains? Investigating the Impact of Batch Sizes on Reinforcement Learning Based Real-World Production Scheduling
by: Müller, Arthur, et al.
Published: (2024)
by: Müller, Arthur, et al.
Published: (2024)
An $ε$-Optimal Sequential Approach for Solving zs-POSGs
by: Escudie, Erwan C., et al.
Published: (2026)
by: Escudie, Erwan C., et al.
Published: (2026)
On the Generalisation of Koopman Representations for Chaotic System Control
by: Hjikakou, Kyriakos, et al.
Published: (2025)
by: Hjikakou, Kyriakos, et al.
Published: (2025)
Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review
by: de Jong, Ivo Pascal, et al.
Published: (2023)
by: de Jong, Ivo Pascal, et al.
Published: (2023)
The Challenge of Out-Of-Distribution Detection in Motor Imagery BCIs
by: Mulder, Merlijn Quincent, et al.
Published: (2026)
by: Mulder, Merlijn Quincent, et al.
Published: (2026)
Overcoming Data Scarcity in Multi-Dialectal Arabic ASR via Whisper Fine-Tuning
by: Özyilmaz, Ömer Tarik, et al.
Published: (2025)
by: Özyilmaz, Ömer Tarik, et al.
Published: (2025)
Sanity Checks for Explanation Uncertainty
by: Valdenegro-Toro, Matias, et al.
Published: (2024)
by: Valdenegro-Toro, Matias, et al.
Published: (2024)
Uncertainty Quantification for Gradient-based Explanations in Neural Networks
by: Mulye, Mihir, et al.
Published: (2024)
by: Mulye, Mihir, et al.
Published: (2024)
The Dilemma of Uncertainty Estimation for General Purpose AI in the EU AI Act
by: Valdenegro-Toro, Matias, et al.
Published: (2024)
by: Valdenegro-Toro, Matias, et al.
Published: (2024)
Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models
by: Groot, Tobias, et al.
Published: (2024)
by: Groot, Tobias, et al.
Published: (2024)
The VVAD-LRS3 Dataset for Visual Voice Activity Detection
by: Lubitz, Adrian, et al.
Published: (2021)
by: Lubitz, Adrian, et al.
Published: (2021)
Informed Learning for Estimating Drought Stress at Fine-Scale Resolution Enables Accurate Yield Prediction
by: Miranda, Miro, et al.
Published: (2025)
by: Miranda, Miro, et al.
Published: (2025)
Uncertainty Quantification for cross-subject Motor Imagery classification
by: Manivannan, Prithviraj, et al.
Published: (2024)
by: Manivannan, Prithviraj, et al.
Published: (2024)
Uncertainty Quantification for Motor Imagery BCI -- Machine Learning vs. Deep Learning
by: Suurmeijer, Joris, et al.
Published: (2025)
by: Suurmeijer, Joris, et al.
Published: (2025)
ε-Optimally Solving Two-Player Zero-Sum POSGs
by: Escudie, Erwan Christian, et al.
Published: (2025)
by: Escudie, Erwan Christian, et al.
Published: (2025)
Modeling of AUV Dynamics with Limited Resources: Efficient Online Learning Using Uncertainty
by: Tešnar, Michal, et al.
Published: (2025)
by: Tešnar, Michal, et al.
Published: (2025)
Forecasting Smog Clouds With Deep Learning
by: Oldenburg, Valentijn, et al.
Published: (2024)
by: Oldenburg, Valentijn, et al.
Published: (2024)
Transferring BCI models from calibration to control: Observing shifts in EEG features
by: de Jong, Ivo Pascal, et al.
Published: (2024)
by: de Jong, Ivo Pascal, et al.
Published: (2024)
Perfil nutricional, dietético e qualidade de vida de pacientes em tratamento quimioterápico
by: Catana Dalmoro Azevedo
Published: (2011)
by: Catana Dalmoro Azevedo
Published: (2011)
Know What You do Not Know: Verbalized Uncertainty Estimation Robustness on Corrupted Images in Vision-Language Models
by: Borszukovszki, Mirko, et al.
Published: (2025)
by: Borszukovszki, Mirko, et al.
Published: (2025)
Ambiente laboral saludable hospitalario: intervenciones con participación social para la adopción de hábitos saludables
by: Karina Zullich
Published: (2015)
by: Karina Zullich
Published: (2015)
The Problem of Conserving Medieval Paintings on Exteriors in Slovenia
by: Šeme, Blaž
Published: (2007)
by: Šeme, Blaž
Published: (2007)
NLP Methods May Actually Be Better Than Professors at Estimating Question Difficulty
by: Zotos, Leonidas, et al.
Published: (2025)
by: Zotos, Leonidas, et al.
Published: (2025)
Terrain Classification Enhanced with Uncertainty for Space Exploration Robots from Proprioceptive Data
by: Álvarez, Mariela De Lucas, et al.
Published: (2024)
by: Álvarez, Mariela De Lucas, et al.
Published: (2024)
A Neuromorphic Approach to Obstacle Avoidance in Robot Manipulation
by: Abdelrahman, Ahmed Faisal, et al.
Published: (2024)
by: Abdelrahman, Ahmed Faisal, et al.
Published: (2024)
The Marine Debris Forward-Looking Sonar Datasets
by: Valdenegro-Toro, Matias, et al.
Published: (2025)
by: Valdenegro-Toro, Matias, et al.
Published: (2025)
Similar Items
-
Measuring Orthogonality as the Blind-Spot of Uncertainty Disentanglement
by: de Jong, Ivo Pascal, et al.
Published: (2024) -
Can Bayesian Neural Networks Explicitly Model Input Uncertainty?
by: Valdenegro-Toro, Matias, et al.
Published: (2025) -
Mapping Transformer Leveraged Embeddings for Cross-Lingual Document Representation
by: Tashu, Tsegaye Misikir, et al.
Published: (2024) -
Upside-Down Reinforcement Learning for More Interpretable Optimal Control
by: Cardenas-Cartagena, Juan, et al.
Published: (2024) -
Uncertainty in Semantic Language Modeling with PIXELS
by: Radu, Stefania, et al.
Published: (2025)