Understanding Segment Anything Model: SAM is Biased Towards Texture
Rather than Shape

Understanding Segment Anything Model: SAM is Biased Towards Texture Rather than Shape

3 June 2023

Yu Qiao

Chenshuang Zhang

Choong Seon Hong

Papers citing "Understanding Segment Anything Model: SAM is Biased Towards Texture Rather than Shape"

6 / 6 papers shown

Title
Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected Dongsheng Han Chaoning Zhang Yu Qiao Maryam Qamar Yuna Jung Seungkyu Lee Sung-Ho Bae Choong Seon Hong VLM 79 36 0 29 Apr 2023
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need? Chaoning Zhang Chenshuang Zhang Sheng Zheng Yu Qiao Chenghao Li ... Lik-Hang Lee Yang Yang Heng Tao Shen In So Kweon Choong Seon Hong 85 159 0 21 Mar 2023
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 392 4,137 0 28 Jan 2022
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang ViT 262 621 0 21 May 2021
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 304 3,708 0 11 Feb 2021
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 270 36,371 0 25 Aug 2016