Better Aggregation in Test-Time Augmentation

Better Aggregation in Test-Time Augmentation

23 November 2020

Divya Shanmugam

Davis W. Blalock

Guha Balakrishnan

Papers citing "Better Aggregation in Test-Time Augmentation"

16 / 16 papers shown

Title
Predicting Diabetic Macular Edema Treatment Responses Using OCT: Dataset and Methods of APTOS Competition Weiyi Zhang Peranut Chotcomwongse Yinwen Li Pusheng Xu Ruijie Yao ... Shujun Wang Yalin Zheng M. He Danli Shi Paisan Ruamviboonsuk 26 0 0 09 May 2025
EU-Nets: Enhanced, Explainable and Parsimonious U-Nets B. Sun P. Liò 57 0 0 25 Feb 2025
Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment Minh-Quan Le Gaurav Mittal Tianjian Meng A S M Iftekhar Vishwas Suryanarayanan Barun Patra Dimitris Samaras Mei Chen DiffM 62 0 0 07 Feb 2025
The T05 System for The VoiceMOS Challenge 2024: Transfer Learning from Deep Image Classifier to Naturalness MOS Prediction of High-Quality Synthetic Speech Kaito Baba Wataru Nakata Yuki Saito Hiroshi Saruwatari VLM 31 8 0 14 Sep 2024
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection A. Benfenati P. Causin Hang Yu Zhedong Zheng 3DPC 42 2 0 01 Aug 2024
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation Jadie Adams Shireen Elhabian UQCV 18 5 0 15 Aug 2023
Uncertainty Quantification for Image-based Traffic Prediction across Cities Alexander Timans Nina Wiedemann Nishant Kumar Ye Hong Martin Raubal 18 1 0 11 Aug 2023
Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks Pedro Conde T. Barros Rui L. Lopes C. Premebida U. J. Nunes UQCV 22 7 0 11 Apr 2023
UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classifying Common Mental Illnesses on Social Media Posts Pratinav Seth Mihir Agarwal AI4MH 16 1 0 10 Apr 2023
Dynamic Test-Time Augmentation via Differentiable Functions Shohei Enomoto Monikka Roslianna Busto Takeharu Eda OOD 35 5 0 09 Dec 2022
Addressing Distribution Shift at Test Time in Pre-trained Language Models Ayush Singh J. Ortega VLM 19 4 0 05 Dec 2022
Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic Disorders Ömer Sümer Fabio Hellmann Alexander Hustinx Tzung-Chien Hsieh Elisabeth André P. Krawitz CVBM 15 7 0 23 Oct 2022
Towards efficient feature sharing in MIMO architectures Rémy Sun Alexandre Ramé Clément Masson Nicolas Thome Matthieu Cord 57 6 0 20 May 2022
Regularising for invariance to data augmentation improves supervised learning Aleksander Botev Matthias Bauer Soham De 30 14 0 07 Mar 2022
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks Dominik Muller Iñaki Soto Rey Frank Kramer 16 56 0 27 Jan 2022
POCO: Point Convolution for Surface Reconstruction Alexandre Boulch Renaud Marlet 3DPC 3DV 29 125 0 05 Jan 2022