ObjectCompose: Evaluating Resilience of Vision-Based Models on
Object-to-Background Compositional Changes

ObjectCompose: Evaluating Resilience of Vision-Based Models on Object-to-Background Compositional Changes

7 March 2024

Muhammad Huzaifa

Muzammal Naseer

Salman Khan

Fahad Shahbaz Khan

Papers citing "ObjectCompose: Evaluating Resilience of Vision-Based Models on Object-to-Background Compositional Changes"

9 / 9 papers shown

Title
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
MaPLe: Multi-modal Prompt Learning Muhammad Uzair Khattak H. Rasheed Muhammad Maaz Salman Khan F. Khan VPVLM VLM 181 521 0 06 Oct 2022
Part-Based Models Improve Adversarial Robustness Chawin Sitawarin Kornrapat Pongmala Yizheng Chen Nicholas Carlini David A. Wagner 33 11 0 15 Sep 2022
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 320 1,570 0 10 Nov 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 319 2,108 0 02 Sep 2021
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang ViT 246 512 0 21 May 2021
Constructing Unrestricted Adversarial Examples with Generative Models Yang Song Rui Shu Nate Kushman Stefano Ermon GAN AAML 166 300 0 21 May 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 253 3,102 0 04 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 242 35,884 0 25 Aug 2016