When does dough become a bagel? Analyzing the remaining mistakes on ImageNet

9 May 2022

Papers citing "When does dough become a bagel? Analyzing the remaining mistakes on ImageNet"

8 / 8 papers shown

Title
Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers Quentin Guimard Moreno DÍncà Massimiliano Mancini Elisa Ricci SSL 72 0 0 29 Apr 2025
GeneCIS: A Benchmark for General Conditional Image Similarity S. Vaze Nicolas Carion Ishan Misra VLM DiffM 22 26 0 13 Jun 2023
Building One-class Detector for Anything: Open-vocabulary Zero-shot OOD Detection Using Text-image Models Yunhao Ge Jie Jessie Ren Jiaping Zhao Kaifeng Chen Andrew Gallagher Laurent Itti Balaji Lakshminarayanan VLM ObjD 16 1 0 26 May 2023
Seeing the Unseen: Errors and Bias in Visual Datasets Hongrui Jin 14 0 0 03 Nov 2022
Distilling Model Failures as Directions in Latent Space Saachi Jain Hannah Lawrence Ankur Moitra A. Madry 16 88 0 29 Jun 2022
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 293 3,683 0 11 Feb 2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels Sangdoo Yun Seong Joon Oh Byeongho Heo Dongyoon Han Junsuk Choe Sanghyuk Chun 384 139 0 13 Jan 2021
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014