Can SAM Count Anything? An Empirical Study on SAM Counting

Can SAM Count Anything? An Empirical Study on SAM Counting

21 April 2023

Qinnan Shangguan

Papers citing "Can SAM Count Anything? An Empirical Study on SAM Counting"

13 / 13 papers shown

Title
RobustSAM: Segment Anything Robustly on Degraded Images Wei-Ting Chen Yu-Jiet Vong Sy-Yen Kuo Sizhuo Ma Jian Wang VLM 51 10 0 13 Jun 2024
A Simple-but-effective Baseline for Training-free Class-Agnostic Counting Yuhao Lin Hai-Ming Xu Lingqiao Liu Javen Qinfeng Shi 31 1 0 03 Mar 2024
Point, Segment and Count: A Generalized Framework for Object Counting Zhizhong Huang Mingliang Dai Yi Zhang Junping Zhang Hongming Shan 49 18 0 21 Nov 2023
Open-NeRF: Towards Open Vocabulary NeRF Decomposition Hao Zhang Fang Li Narendra Ahuja 35 12 0 25 Oct 2023
ABC Easy as 123: A Blind Counter for Exemplar-Free Multi-Class Class-agnostic Counting Michael A. Hobley V. Prisacariu 11 3 0 09 Sep 2023
Industrial Segment Anything -- a Case Study in Aircraft Manufacturing, Intralogistics, Maintenance, Repair, and Overhaul Keno Moenck Arne Wendt Philipp Prünte Julian Koch Arne Sahrhage ... Falko Kähler Dirk Holst Martin Gomse Thorsten Schuppstuhl Daniel Schoepflin VLM 38 6 0 24 Jul 2023
Review of Large Vision Models and Visual Prompt Engineering Jiaqi Wang Zheng Liu Lin Zhao Zihao Wu Chong Ma ... Bao Ge Yixuan Yuan Dinggang Shen Tianming Liu Shu Zhang VLM LRM 55 147 0 03 Jul 2023
On the Robustness of Segment Anything Yihao Huang Yue Cao Tianlin Li Felix Juefei Xu Di Lin Ivor W.Tsang Yang Liu Qing Guo AAML VLM 37 27 0 25 May 2023
A Comprehensive Survey on Segment Anything Model for Vision and Beyond Chunhui Zhang Li Liu Yawen Cui Guanjie Huang Weilin Lin Yiqian Yang Yuehong Hu VLM 48 90 0 14 May 2023
A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering Chaoning Zhang Fachrina Dewi Puspitasari Sheng Zheng Chenghao Li Yu Qiao ... Caiyan Qin François Rameau Lik-Hang Lee Sung-Ho Bae Choong Seon Hong VLM 84 63 0 12 May 2023
SAM on Medical Images: A Comprehensive Study on Three Prompt Modes D. Cheng Ziyuan Qin Zekun Jiang Shaoting Zhang Qicheng Lao Kang Li MedIm VLM 27 103 0 28 Apr 2023
Few-shot Object Counting with Similarity-Aware Feature Enhancement Zhiyuan You Kai Yang Wenhan Luo X. Lu Lei Cui Xinyi Le 44 67 0 22 Jan 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 490 11,727 0 09 Mar 2017