Cover Image

Benchmarking Post-Hoc Unknown-Category Detection in Food Recognition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rahman, Lubnaa Abdur, Papathanail, Ioannis, Brigato, Lorenzo, Mougiakakou, Stavroula
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A SAM based Tool for Semi-Automatic Food Annotation
by: Rahman, Lubnaa Abdur, et al.
Published: (2024)

Food Recognition and Nutritional Apps
by: Rahman, Lubnaa Abdur, et al.
Published: (2023)

Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets
by: Brigato, Lorenzo, et al.
Published: (2024)

Introducing the Swiss Food Knowledge Graph: AI for Context-Aware Nutrition Recommendation
by: Rahman, Lubnaa Abdur, et al.
Published: (2025)

Unmasking Interstitial Lung Diseases: Leveraging Masked Autoencoders for Diagnosis
by: Dack, Ethan, et al.
Published: (2025)

Safeguarding AI in Medical Imaging: Post-Hoc Out-of-Distribution Detection with Normalizing Flows
by: Lotfi, Dariush, et al.
Published: (2025)

Few-View Object Reconstruction with Unknown Categories and Camera Poses
by: Jiang, Hanwen, et al.
Published: (2022)

CAMBench-QR : A Structure-Aware Benchmark for Post-Hoc Explanations with QR Understanding
by: Chakraborty, Ritabrata, et al.
Published: (2025)

Food Image Generation on Multi-Noun Categories
by: Pan, Xinyue, et al.
Published: (2025)

ProDG: Prototypes for Data-Free Generative Post-Hoc Explainability
by: Borycki, Piotr, et al.
Published: (2026)

Cascading Unknown Detection with Known Classification for Open Set Recognition
by: Brignac, Daniel, et al.
Published: (2024)

PostHoc FREE Calibrating on Kolmogorov Arnold Networks
by: Liang, Wenhao, et al.
Published: (2025)

Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-Shot Open-Set Recognition
by: Zhang, Zhenyu, et al.
Published: (2024)

Ranked Activation Shift for Post-Hoc Out-of-Distribution Detection
by: Guglielmo, Gianluca, et al.
Published: (2026)

Echo-DND: A dual noise diffusion model for robust and precise left ventricle segmentation in echocardiography
by: Rahman, Abdur, et al.
Published: (2025)

Motion-Corrected Moving Average: Including Post-Hoc Temporal Information for Improved Video Segmentation
by: Mendel, Robert, et al.
Published: (2024)

Fast Post-Hoc Confidence Fusion for 3-Class Open-Set Aerial Object Detection
by: Loukovitis, Spyridon, et al.
Published: (2025)

Associate Everything Detected: Facilitating Tracking-by-Detection to the Unknown
by: Fang, Zimeng, et al.
Published: (2024)

Do Modern Post-Hoc Watermarking Methods Beat Broken-Arrows?
by: Gesny, Enoal, et al.
Published: (2026)

Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability
by: Bhalla, Usha, et al.
Published: (2023)

Post-Hoc Guidance for Consistency Models by Joint Flow Distribution Learning
by: Hsu, Chia-Hong, et al.
Published: (2026)

Classifying the Unknown: In-Context Learning for Open-Vocabulary Text and Symbol Recognition
by: Simon, Tom, et al.
Published: (2025)

A Baseline Study and Benchmark for Few-Shot Open-Set Action Recognition with Feature Residual Discrimination
by: Berti, Stefano, et al.
Published: (2026)

Visual Place Recognition for Large-Scale UAV Applications
by: Papapetros, Ioannis Tsampikos, et al.
Published: (2025)

Prompting Visual-Language Models for Dynamic Facial Expression Recognition
by: Zhao, Zengqun, et al.
Published: (2023)

MegaHan97K: A Large-Scale Dataset for Mega-Category Chinese Character Recognition with over 97K Categories
by: Zhang, Yuyi, et al.
Published: (2025)

SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise
by: Feng, Chen, et al.
Published: (2021)

Informed Decision-Making through Advancements in Open Set Recognition and Unknown Sample Detection
by: Mahdavi, Atefeh, et al.
Published: (2024)

ADNet: A Large-Scale and Extensible Multi-Domain Benchmark for Anomaly Detection Across 380 Real-World Categories
by: Ling, Hai, et al.
Published: (2025)

Balancing Beyond Discrete Categories: Continuous Demographic Labels for Fair Face Recognition
by: Neto, Pedro C., et al.
Published: (2025)

Leveraging Automatic Personalised Nutrition: Food Image Recognition Benchmark and Dataset based on Nutrition Taxonomy
by: Romero-Tapiador, Sergio, et al.
Published: (2022)

The State of Post-Hoc Local XAI Techniques for Image Processing: Challenges and Motivations
by: Poh, Rech Leong Tian, et al.
Published: (2025)

Train Once, Forget Precisely: Anchored Optimization for Efficient Post-Hoc Unlearning
by: Sanga, Prabhav, et al.
Published: (2025)

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking
by: Szabó, Gergely, et al.
Published: (2024)

EMMA: Concept Erasure Benchmark with Comprehensive Semantic Metrics and Diverse Categories
by: Wei, Lu, et al.
Published: (2025)

Generalized Categories Discovery for Long-tailed Recognition
by: Li, Ziyun, et al.
Published: (2023)

Fall Detection from Indoor Videos using MediaPipe and Handcrafted Feature
by: Ahmed, Fatima, et al.
Published: (2025)

Weakly Supervised Food Image Segmentation using Vision Transformers and Segment Anything Model
by: Sarafis, Ioannis, et al.
Published: (2025)

Optimising for the Unknown: Domain Alignment for Cephalometric Landmark Detection
by: Wyatt, Julian, et al.
Published: (2024)

Language-guided Detection and Mitigation of Unknown Dataset Bias
by: Zhao, Zaiying, et al.
Published: (2024)