A Baseline for Detecting Out-of-Distribution Examples in Image Captioning

12 July 2022

Papers citing "A Baseline for Detecting Out-of-Distribution Examples in Image Captioning"

21 / 21 papers shown

Title
Uncertainty quantification for improving radiomic-based models in radiation pneumonitis prediction Chanon Puttanawarut Romen Samuel Wabina Nat Sirirutbunkajorn AI4CE 94 0 0 27 Dec 2024
OODformer: Out-Of-Distribution Detection Transformer Rajat Koner Poulami Sinhamahapatra Karsten Roscher Stephan Günnemann Volker Tresp ViT 48 40 0 19 Jul 2021
Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network Jiayi Ji Yunpeng Luo Xiaoshuai Sun Fuhai Chen Gen Luo Yongjian Wu Yue Gao Rongrong Ji ViT 92 174 0 13 Dec 2020
Self-Supervised Out-of-Distribution Detection in Brain CT Scans Abinav Ravi Venkatakrishnan S. T. Kim R. Eisawy Franz MJ Pfister Nassir Navab OOD 54 22 0 10 Nov 2020
Pretrained Transformers Improve Out-of-Distribution Robustness Dan Hendrycks Xiaoyuan Liu Eric Wallace Adam Dziedzic R. Krishnan Basel Alomair OOD 204 435 0 13 Apr 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data Yen-Chang Hsu Yilin Shen Hongxia Jin Z. Kira OODD 105 577 0 26 Feb 2020
Meshed-Memory Transformer for Image Captioning Marcella Cornia Matteo Stefanini Lorenzo Baraldi Rita Cucchiara 78 884 0 17 Dec 2019
Joint Visual-Textual Embedding for Multimodal Style Search Gil Sadeh L. Fritz Gabi Shalev Eduard Oks 56 8 0 15 Jun 2019
Generating Diverse and Informative Natural Language Fashion Feedback Gil Sadeh L. Fritz Gabi Shalev Eduard Oks 45 5 0 15 Jun 2019
Image Captioning: Transforming Objects into Words Simão Herdade Armin Kappeler K. Boakye Joao Soares ViT 130 471 0 14 Jun 2019
nocaps: novel object captioning at scale Harsh Agrawal Karan Desai Yufei Wang Xinlei Chen Rishabh Jain Mark Johnson Dhruv Batra Devi Parikh Stefan Lee Peter Anderson VLM 134 486 0 20 Dec 2018
Out-of-Distribution Detection using Multiple Semantic Label Representations Gabi Shalev Yossi Adi Joseph Keshet OODD 79 85 0 20 Aug 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 192 2,063 0 10 Jul 2018
Neural Baby Talk Jiasen Lu Jianwei Yang Dhruv Batra Devi Parikh VLM 232 435 0 27 Mar 2018
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples Kimin Lee Honglak Lee Kibok Lee Jinwoo Shin OODD 128 882 0 26 Nov 2017
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering Peter Anderson Xiaodong He Chris Buehler Damien Teney Mark Johnson Stephen Gould Lei Zhang AIMat 123 4,223 0 25 Jul 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,871 0 14 Jun 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 171 3,480 0 07 Oct 2016
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images Anh Totti Nguyen J. Yosinski Jeff Clune AAML 174 3,275 0 05 Dec 2014
CIDEr: Consensus-based Image Description Evaluation Ramakrishna Vedantam C. L. Zitnick Devi Parikh 300 4,511 0 20 Nov 2014
Show and Tell: A Neural Image Caption Generator Oriol Vinyals Alexander Toshev Samy Bengio D. Erhan 3DV 262 6,036 0 17 Nov 2014