ImageNet-D: Benchmarking Neural Network Robustness on Diffusion
Synthetic Object

ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object

27 March 2024

Chenshuang Zhang

In So Kweon

Papers citing "ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object"

7 / 7 papers shown

Title
Are We Done with Object-Centric Learning? Alexander Rubinstein Ameya Prabhu Matthias Bethge Seong Joon Oh OCL 534 0 0 09 Apr 2025
Improving robustness to corruptions with multiplicative weight perturbations Trung Trinh Markus Heinonen Luigi Acerbi Samuel Kaski 21 0 0 24 Jun 2024
Identification of Systematic Errors of Image Classifiers on Rare Subgroups J. H. Metzen Robin Hutmacher N. G. Hua Valentyn Boreiko Dan Zhang AAML VLM 50 18 0 09 Mar 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models Junnan Li Dongxu Li Silvio Savarese Steven C. H. Hoi VLM MLLM 244 4,186 0 30 Jan 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 244 35,884 0 25 Aug 2016
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