Large-Scale Evaluation of Open-Set Image Classification Techniques
Fuente:
arXiv
Guardado en:
| Autores principales: | Bisgin, Halil, Palechor, Andres, Suter, Mike, Günther, Manuel |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
GHOST: Gaussian Hypothesis Open-Set Technique
por: Rabinowitz, Ryan, et al.
Publicado: (2025)
por: Rabinowitz, Ryan, et al.
Publicado: (2025)
A Large-Scale Empirical Study on Improving the Fairness of Image Classification Models
por: Yang, Junjie, et al.
Publicado: (2024)
por: Yang, Junjie, et al.
Publicado: (2024)
Skin Cancer Images Classification using Transfer Learning Techniques
por: Islam, Md Sirajul, et al.
Publicado: (2024)
por: Islam, Md Sirajul, et al.
Publicado: (2024)
Exploring the Feasibility of Deep Learning Techniques for Accurate Gender Classification from Eye Images
por: Hasan, Basna Mohammed Salih, et al.
Publicado: (2025)
por: Hasan, Basna Mohammed Salih, et al.
Publicado: (2025)
TRIP-Evaluate: An Open Multimodal Benchmark for Evaluating Large Models in Transportation
por: Gong, Han, et al.
Publicado: (2026)
por: Gong, Han, et al.
Publicado: (2026)
A Study of Gender Classification Techniques Based on Iris Images: A Deep Survey and Analysis
por: Hasan, Basna Mohammed Salih, et al.
Publicado: (2025)
por: Hasan, Basna Mohammed Salih, et al.
Publicado: (2025)
OpenNDD: Open Set Recognition for Neurodevelopmental Disorders Detection
por: Yu, Jiaming, et al.
Publicado: (2023)
por: Yu, Jiaming, et al.
Publicado: (2023)
Holistic Uncertainty Estimation For Open-Set Recognition
por: Erlygin, Leonid, et al.
Publicado: (2024)
por: Erlygin, Leonid, et al.
Publicado: (2024)
A Comparative Study of Machine Unlearning Techniques for Image and Text Classification Models
por: Safa, Omar M., et al.
Publicado: (2024)
por: Safa, Omar M., et al.
Publicado: (2024)
Known Meets Unknown: Mitigating Overconfidence in Open Set Recognition
por: Zhao, Dongdong, et al.
Publicado: (2025)
por: Zhao, Dongdong, et al.
Publicado: (2025)
Preserving Product Fidelity in Large Scale Image Recontextualization with Diffusion Models
por: Malhi, Ishaan, et al.
Publicado: (2025)
por: Malhi, Ishaan, et al.
Publicado: (2025)
ViT-ProtoNet for Few-Shot Image Classification: A Multi-Benchmark Evaluation
por: Mutlu, Abdulvahap, et al.
Publicado: (2025)
por: Mutlu, Abdulvahap, et al.
Publicado: (2025)
A Lightweight Neural Architecture Search Model for Medical Image Classification
por: Xie, Lunchen, et al.
Publicado: (2024)
por: Xie, Lunchen, et al.
Publicado: (2024)
Layout-Aware Representation Learning for Open-Set ID Fraud Discovery
por: Li, Jinxing, et al.
Publicado: (2026)
por: Li, Jinxing, et al.
Publicado: (2026)
SearchAD: Large-Scale Rare Image Retrieval Dataset for Autonomous Driving
por: Embacher, Felix, et al.
Publicado: (2026)
por: Embacher, Felix, et al.
Publicado: (2026)
RNNs, CNNs and Transformers in Human Action Recognition: A Survey and a Hybrid Model
por: Alomar, Khaled, et al.
Publicado: (2024)
por: Alomar, Khaled, et al.
Publicado: (2024)
Towards Multimodal Open-Set Domain Generalization and Adaptation through Self-supervision
por: Dong, Hao, et al.
Publicado: (2024)
por: Dong, Hao, et al.
Publicado: (2024)
Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models
por: Lai, Zhengfeng, et al.
Publicado: (2024)
por: Lai, Zhengfeng, et al.
Publicado: (2024)
Lost in the Hype: Revealing and Dissecting the Performance Degradation of Medical Multimodal Large Language Models in Image Classification
por: Zhu, Xun, et al.
Publicado: (2026)
por: Zhu, Xun, et al.
Publicado: (2026)
Language-Driven Active Learning for Diverse Open-Set 3D Object Detection
por: Greer, Ross, et al.
Publicado: (2024)
por: Greer, Ross, et al.
Publicado: (2024)
Rethinking VLMs and LLMs for Image Classification
por: Cooper, Avi, et al.
Publicado: (2024)
por: Cooper, Avi, et al.
Publicado: (2024)
6Img-to-3D: Few-Image Large-Scale Outdoor Driving Scene Reconstruction
por: Gieruc, Théo, et al.
Publicado: (2024)
por: Gieruc, Théo, et al.
Publicado: (2024)
SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks
por: Pandya, Sneh, et al.
Publicado: (2025)
por: Pandya, Sneh, et al.
Publicado: (2025)
Benchmarking the Fairness of Image Upsampling Methods
por: Laszkiewicz, Mike, et al.
Publicado: (2024)
por: Laszkiewicz, Mike, et al.
Publicado: (2024)
Edge AI: Evaluation of Model Compression Techniques for Convolutional Neural Networks
por: Francy, Samer, et al.
Publicado: (2024)
por: Francy, Samer, et al.
Publicado: (2024)
Activation Function Optimization Scheme for Image Classification
por: Rahman, Abdur, et al.
Publicado: (2024)
por: Rahman, Abdur, et al.
Publicado: (2024)
Fast Graph Neural Network for Image Classification
por: Gharasuie, Mustafa Mohammadi, et al.
Publicado: (2025)
por: Gharasuie, Mustafa Mohammadi, et al.
Publicado: (2025)
Automated Classification of Model Errors on ImageNet
por: Peychev, Momchil, et al.
Publicado: (2023)
por: Peychev, Momchil, et al.
Publicado: (2023)
Practical Transferability Estimation for Image Classification Tasks
por: Tan, Yang, et al.
Publicado: (2021)
por: Tan, Yang, et al.
Publicado: (2021)
Hybrid Quantum-Classical Model for Image Classification
por: Shahzad, Muhammad Adnan
Publicado: (2025)
por: Shahzad, Muhammad Adnan
Publicado: (2025)
Label Semantics for Robust Hyperspectral Image Classification
por: Hassan, Rafin, et al.
Publicado: (2025)
por: Hassan, Rafin, et al.
Publicado: (2025)
Uncertainty-guided Open-Set Source-Free Unsupervised Domain Adaptation with Target-private Class Segregation
por: Litrico, Mattia, et al.
Publicado: (2024)
por: Litrico, Mattia, et al.
Publicado: (2024)
Open-Set Domain Adaptation Under Background Distribution Shift: Challenges and A Provably Efficient Solution
por: Chaudhari, Shravan, et al.
Publicado: (2025)
por: Chaudhari, Shravan, et al.
Publicado: (2025)
Scale Efficient Training for Large Datasets
por: Zhou, Qing, et al.
Publicado: (2025)
por: Zhou, Qing, et al.
Publicado: (2025)
Stain-Invariant Representation for Tissue Classification in Histology Images
por: Raza, Manahil, et al.
Publicado: (2024)
por: Raza, Manahil, et al.
Publicado: (2024)
Evidential Federated Learning for Skin Lesion Image Classification
por: Hendrix, Rutger, et al.
Publicado: (2024)
por: Hendrix, Rutger, et al.
Publicado: (2024)
Human and AI Perceptual Differences in Image Classification Errors
por: Liu, Minghao, et al.
Publicado: (2023)
por: Liu, Minghao, et al.
Publicado: (2023)
Scaling Laws for Robust Comparison of Open Foundation Language-Vision Models and Datasets
por: Nezhurina, Marianna, et al.
Publicado: (2025)
por: Nezhurina, Marianna, et al.
Publicado: (2025)
Evaluating the Energy Efficiency of Few-Shot Learning for Object Detection in Industrial Settings
por: Tsoumplekas, Georgios, et al.
Publicado: (2024)
por: Tsoumplekas, Georgios, et al.
Publicado: (2024)
Quantized Machine Learning Models for Medical Imaging in Low-Resource Healthcare Settings
por: Kanneti, Sumanth Meenan, et al.
Publicado: (2026)
por: Kanneti, Sumanth Meenan, et al.
Publicado: (2026)
Ejemplares similares
-
GHOST: Gaussian Hypothesis Open-Set Technique
por: Rabinowitz, Ryan, et al.
Publicado: (2025) -
A Large-Scale Empirical Study on Improving the Fairness of Image Classification Models
por: Yang, Junjie, et al.
Publicado: (2024) -
Skin Cancer Images Classification using Transfer Learning Techniques
por: Islam, Md Sirajul, et al.
Publicado: (2024) -
Exploring the Feasibility of Deep Learning Techniques for Accurate Gender Classification from Eye Images
por: Hasan, Basna Mohammed Salih, et al.
Publicado: (2025) -
TRIP-Evaluate: An Open Multimodal Benchmark for Evaluating Large Models in Transportation
por: Gong, Han, et al.
Publicado: (2026)