ASAM: Boosting Segment Anything Model with Adversarial Tuning

1 May 2024

Papers citing "ASAM: Boosting Segment Anything Model with Adversarial Tuning"

20 / 20 papers shown

Title
SAM4EM: Efficient memory-based two stage prompt-free segment anything model adapter for complex 3D neuroscience electron microscopy stacks Uzair Shah Marco Agus Daniya Boges Vanessa Chiappini M. Alzubaidi J. Schneider Markus Hadwiger Pierre J. Magistretti Mowafa J Househ Corrado Calı 43 0 0 30 Apr 2025
OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad Luyao Tang Yuxuan Yuan C. L. P. Chen Zeyu Zhang Yue Huang Kun Zhang 48 0 0 24 Mar 2025
Segment Any-Quality Images with Generative Latent Space Enhancement Guangqian Guo Yoong Guo Xuehui Yu Wenbo Li Yaoxing Wang Shan Gao VLM 77 0 0 16 Mar 2025
Enhancing Adversarial Robustness of Vision-Language Models through Low-Rank Adaptation Yuheng Ji Yue Liu Zhicheng Zhang Zhao Zhang Yuting Zhao Gang Zhou Xingwei Zhang Xinwang Liu Xiaolong Zheng VLM 108 4 0 21 Feb 2025
Bootstrap Segmentation Foundation Model under Distribution Shift via Object-Centric Learning Luyao Tang Yuxuan Yuan C. L. P. Chen Kunze Huang Xinghao Ding Yue Huang VLM 30 1 0 29 Aug 2024
Segment Anything with Multiple Modalities Aoran Xiao Weihao Xuan Heli Qi Yun Xing Naoto Yokoya Shijian Lu VLM 25 7 0 17 Aug 2024
P2RBox: Point Prompt Oriented Object Detection with SAM Guangming Cao Xuehui Yu Wenwen Yu Xumeng Han Xue Yang Guorong Li Jianbin Jiao Zhenjun Han 26 4 0 22 Nov 2023
Segment Anything Model is a Good Teacher for Local Feature Learning Jindong Wang Ran Tao Zach Wood-Doughty Changwei Wang Xingxu Xie Masashi Sugiyama VLM 23 11 0 29 Sep 2023
Leaf Only SAM: A Segment Anything Pipeline for Zero-Shot Automated Leaf Segmentation Dominic Williams Fraser Macfarlane Avril Britten VLM AI4TS 73 24 0 16 May 2023
Scalable Mask Annotation for Video Text Spotting Haibin He Jing Zhang Mengyang Xu Juhua Liu Bo Du Dacheng Tao 90 14 0 02 May 2023
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 77 36 0 29 Apr 2023
Customized Segment Anything Model for Medical Image Segmentation Kaiwen Zhang Dong Liu MedIm VLM 95 286 0 26 Apr 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 265 4,229 0 30 Jan 2023
SOCRATES: A Stereo Camera Trap for Monitoring of Biodiversity T. Haucke H. Kühl Volker Steinhage 28 11 0 19 Sep 2022
Enhance the Visual Representation via Discrete Adversarial Training Xiaofeng Mao YueFeng Chen Ranjie Duan Yao Zhu Gege Qi Shaokai Ye Xiaodan Li Rong Zhang Hui Xue 39 31 0 16 Sep 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 308 11,915 0 04 Mar 2022
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 390 4,125 0 28 Jan 2022
MUSIQ: Multi-scale Image Quality Transformer Junjie Ke Qifei Wang Yilin Wang P. Milanfar Feng Yang 157 624 0 12 Aug 2021
FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu Yu Cheng Zhe Gan S. Sun Tom Goldstein Jingjing Liu AAML 221 437 0 25 Sep 2019
Semantic Understanding of Scenes through the ADE20K Dataset Bolei Zhou Hang Zhao Xavier Puig Tete Xiao Sanja Fidler Adela Barriuso Antonio Torralba SSeg 253 1,827 0 18 Aug 2016