Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias

9 January 2020

Papers citing "Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias"

34 / 34 papers shown

Title
Attention IoU: Examining Biases in CelebA using Attention Maps Aaron Serianni Tyler Zhu Olga Russakovsky V. V. Ramaswamy 50 0 0 25 Mar 2025
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable Shreyash Arya Sukrut Rao Moritz Bohle Bernt Schiele 81 2 0 28 Jan 2025
Deployment Prior Injection for Run-time Calibratable Object Detection Mo Zhou Yiding Yang Haoxiang Li Vishal M. Patel Gang Hua 51 0 0 27 Feb 2024
Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models Laura Cabello Emanuele Bugliarello Stephanie Brandl Desmond Elliott 28 7 0 26 Oct 2023
CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping Tim Lebailly Thomas Stegmüller Behzad Bozorgtabar Jean-Philippe Thiran Tinne Tuytelaars SSL 57 6 0 11 Oct 2023
Mitigating Bias: Enhancing Image Classification by Improving Model Explanations Raha Ahmadi Mohammad Javad Rajabi Mohammad Khalooiem Mohammad Sabokrou 34 0 0 04 Jul 2023
NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization Zhixiang Min Bingbing Zhuang S. Schulter Buyu Liu Enrique Dunn Manmohan Chandraker 3DPC 60 19 0 28 May 2023
VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object Detection Arushi Rai Adriana Kovashka 29 0 0 16 Mar 2023
Overwriting Pretrained Bias with Finetuning Data Angelina Wang Olga Russakovsky 31 30 0 10 Mar 2023
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning Yuyang Gao Siyi Gu Junji Jiang S. Hong Dazhou Yu Liang Zhao 31 39 0 07 Dec 2022
Prediction of Scene Plausibility O. Nachmias Ohad Fried Ariel Shamir 3DV 34 0 0 02 Dec 2022
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels Sumyeong Ahn Se-Young Yun NoLa 33 2 0 01 Dec 2022
Reason from Context with Self-supervised Learning Xinyu Liu Ankur Sikarwar Gabriel Kreiman Zenglin Shi Mengmi Zhang ReLM LRM 32 1 0 23 Nov 2022
Probabilistic Debiasing of Scene Graphs Bashirul Azam Biswas Qian Ji 29 11 0 11 Nov 2022
Fairness via Adversarial Attribute Neighbourhood Robust Learning Q. Qi Shervin Ardeshir Yi Tian Xu Tianbao Yang 45 0 0 12 Oct 2022
DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation Bum Chul Kwon Jungsoo Lee Chaeyeon Chung Nyoungwoo Lee Ho-Jin Choi Jaegul Choo 39 10 0 14 Sep 2022
Learning to Refactor Action and Co-occurrence Features for Temporal Action Localization Kun Xia Le Wang Sanping Zhou Nanning Zheng Wei Tang 44 36 0 23 Jun 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness Hila Chefer Idan Schwartz Lior Wolf ViT 45 38 0 02 Jun 2022
Post-hoc Concept Bottleneck Models Mert Yuksekgonul Maggie Wang James Zou 145 188 0 31 May 2022
What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics David M. Chan Austin Myers Sudheendra Vijayanarasimhan David A. Ross Bryan Seybold John F. Canny 33 6 0 12 May 2022
VisCUIT: Visual Auditor for Bias in CNN Image Classifier Seongmin Lee Zijie J. Wang Judy Hoffman Duen Horng Chau 34 11 0 12 Apr 2022
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses Robik Shrestha Kushal Kafle Christopher Kanan CML 38 13 0 05 Apr 2022
FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis Yawen Wu Dewen Zeng Xiaowei Xu Yiyu Shi Jingtong Hu MedIm 34 51 0 04 Mar 2022
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification Thomas Stegmüller Behzad Bozorgtabar A. Spahr Jean-Philippe Thiran ViT MedIm 35 42 0 15 Feb 2022
Learning Robust Convolutional Neural Networks with Relevant Feature Focusing via Explanations Kazuki Adachi Shin'ya Yamaguchi OOD 42 0 0 09 Feb 2022
Contrastive Object Detection Using Knowledge Graph Embeddings Christopher Lang Alexander Braun Abhinav Valada 20 8 0 21 Dec 2021
The Box Size Confidence Bias Harms Your Object Detector Johannes Gilg Torben Teepe Fabian Herzog Gerhard Rigoll ObjD 21 4 0 03 Dec 2021
Consistent Explanations by Contrastive Learning Vipin Pillai Soroush Abbasi Koohpayegani Ashley Ouligian Dennis Fong Hamed Pirsiavash FAtt 20 21 0 01 Oct 2021
A Survey on Bias in Visual Datasets Simone Fabbrizzi Symeon Papadopoulos Eirini Ntoutsi Y. Kompatsiaris 132 122 0 16 Jul 2021
Fairness via Representation Neutralization Mengnan Du Subhabrata Mukherjee Guanchu Wang Ruixiang Tang Ahmed Hassan Awadallah Xia Hu 30 78 0 23 Jun 2021
Hallucination In Object Detection -- A Study In Visual Part Verification O. Kayhan Bart Vredebregt Jan van Gemert 33 14 0 04 Jun 2021
Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation Weiyao Wang Matt Feiszli Heng Wang Du Tran VOS 15 123 0 10 Apr 2021
Detecting Spurious Correlations with Sanity Tests for Artificial Intelligence Guided Radiology Systems U. Mahmood Robik Shrestha D. Bates L. Mannelli G. Corrias Y. Erdi Christopher Kanan 18 16 0 04 Mar 2021
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles Christopher Clark Mark Yatskar Luke Zettlemoyer 26 61 0 07 Nov 2020