Cover Image

TTA-OOD: Test-time Augmentation for Improving Out-of-Distribution Detection in Gastrointestinal Vision

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pokhrel, Sandesh, Bhandari, Sanjay, Vazquez, Eduard, Lambrou, Tryphon, Gyawali, Prashnna, Bhattarai, Binod
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision
by: Pokhrel, Sandesh, et al.
Published: (2024)

Estimating 2D Keypoints of Surgical Tools Using Vision-Language Models with Low-Rank Adaptation
by: Duangprom, Krit, et al.
Published: (2025)

Cross-Task Data Augmentation by Pseudo-label Generation for Region Based Coronary Artery Instance Segmentation
by: Pokhrel, Sandesh, et al.
Published: (2023)

NERO: Explainable Out-of-Distribution Detection with Neuron-level Relevance
by: Chhetri, Anju, et al.
Published: (2025)

Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models
by: Khanal, Bidur, et al.
Published: (2025)

Effect of Data Augmentation on Conformal Prediction for Diabetic Retinopathy
by: Ahamed, Rizwan, et al.
Published: (2025)

CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities
by: Poudel, Pranav, et al.
Published: (2024)

TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer's Disease Progression Analysis
by: Thrasher, Jacob, et al.
Published: (2024)

Multimodal Federated Learning With Missing Modalities through Feature Imputation Network
by: Poudel, Pranav, et al.
Published: (2025)

FedVG: Gradient-Guided Aggregation for Enhanced Federated Learning
by: Devkota, Alina, et al.
Published: (2026)

Addressing Bias in VLMs for Glaucoma Detection Without Protected Attribute Supervision
by: Akash, Ahsan Habib, et al.
Published: (2025)

RS-OOD: A Vision-Language Augmented Framework for Out-of-Distribution Detection in Remote Sensing
by: Wang, Chenhao, et al.
Published: (2025)

Enhancing Retinal Disease Classification from OCTA Images via Active Learning Techniques
by: Thrasher, Jacob, et al.
Published: (2024)

Med-MMFL: A Multimodal Federated Learning Benchmark in Healthcare
by: Chhetri, Aavash, et al.
Published: (2026)

PixOOD: Pixel-Level Out-of-Distribution Detection
by: Vojíř, Tomáš, et al.
Published: (2024)

Prompt Augmentation for Self-supervised Text-guided Image Manipulation
by: Bodur, Rumeysa, et al.
Published: (2024)

Federated Foundation Model for GI Endoscopy Images
by: Devkota, Alina, et al.
Published: (2025)

CURE: Centroid-guided Unsupervised Representation Erasure for Facial Recognition Systems
by: Shivam, Fnu, et al.
Published: (2025)

CURE-OOD: Benchmarking Out-of-Distribution Detection for Survival Prediction
by: Zhao, Wenjie, et al.
Published: (2026)

Synthesizing Near-Boundary OOD Samples for Out-of-Distribution Detection
by: Li, Jinglun, et al.
Published: (2025)

ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms
by: Yang, William, et al.
Published: (2023)

FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection
by: Isaac-Medina, Brian K. S., et al.
Published: (2024)

TagOOD: A Novel Approach to Out-of-Distribution Detection via Vision-Language Representations and Class Center Learning
by: Li, Jinglun, et al.
Published: (2024)

MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
by: Dong, Hao, et al.
Published: (2024)

Hybrid-TTA: Continual Test-time Adaptation via Dynamic Domain Shift Detection
by: Park, Hyewon, et al.
Published: (2024)

VLOD-TTA: Test-Time Adaptation of Vision-Language Object Detectors
by: Belal, Atif, et al.
Published: (2025)

TTL: Test-time Textual Learning for OOD Detection with Pretrained Vision-Language Models
by: Ye, Jinlun, et al.
Published: (2026)

StableTTA: Improving Vision Model Performance by Training-free Test-Time Adaptation Methods
by: Li, Zheng, et al.
Published: (2026)

OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection
by: Zhang, Jingyang, et al.
Published: (2023)

S$^3$-TTA: Scale-Style Selection for Test-Time Augmentation in Biomedical Image Segmentation
by: Xie, Kangxian, et al.
Published: (2023)

ReservoirTTA: Prolonged Test-time Adaptation for Evolving and Recurring Domains
by: Vray, Guillaume, et al.
Published: (2025)

Improving Batch Normalization with TTA for Robust Object Detection in Self-Driving
by: Liao, Dacheng, et al.
Published: (2024)

NeuralOOD: Improving Out-of-Distribution Generalization Performance with Brain-machine Fusion Learning Framework
by: Zhao, Shuangchen, et al.
Published: (2024)

Retrieval-Augmented Prompt for OOD Detection
by: Han, Ruisong, et al.
Published: (2025)

Skeleton-OOD: An End-to-End Skeleton-Based Model for Robust Out-of-Distribution Human Action Detection
by: Xu, Jing, et al.
Published: (2024)

SegTTA: Training-Free Test-Time Augmentation for Zero-Shot Medical Imaging Segmentation
by: Yao, Yihong, et al.
Published: (2026)

HyperTTA: Test-Time Adaptation for Hyperspectral Image Classification under Distribution Shifts
by: Yue, Xia, et al.
Published: (2025)

Activation Matters: Test-time Activated Negative Labels for OOD Detection with Vision-Language Models
by: Zhang, Yabin, et al.
Published: (2026)

OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary
by: Yang, Yifeng, et al.
Published: (2025)

Two is better than one: A Collapse-free Multi-Reward RLIF Training Framework
by: Joarder, Shourov, et al.
Published: (2026)