SimAda: A Simple Unified Framework for Adapting Segment Anything Model in Underperformed Scenes

31 January 2024

Papers citing "SimAda: A Simple Unified Framework for Adapting Segment Anything Model in Underperformed Scenes"

9 / 9 papers shown

Title
Segment Anything Model for Medical Images? Yuhao Huang Yitian Zhao Lei Mou H. Fu Ao Chang ... Lei Li Vicente Grau M. Akiba Fajin Dong Jiang-Dong Liu VLM 72 29 0 28 Apr 2023
Customized Segment Anything Model for Medical Image Segmentation Kaiwen Zhang Dong Liu MedIm VLM 95 276 0 26 Apr 2023
Towards a Unified View on Visual Parameter-Efficient Transfer Learning Bruce X. B. Yu Jianlong Chang Lin Liu Qi Tian Changan Chen VPVLM VLM 65 33 0 03 Oct 2022
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
Context-Aware Mixup for Domain Adaptive Semantic Segmentation Qianyu Zhou Zhengyang Feng Qiqi Gu Jiangmiao Pang Guangliang Cheng Xuequan Lu Jianping Shi Lizhuang Ma 51 97 0 08 Aug 2021
Self-Adversarial Disentangling for Specific Domain Adaptation Qianyu Zhou Qiqi Gu Jiangmiao Pang Xuequan Lu Lizhuang Ma 45 49 0 08 Aug 2021
End-to-End Video Object Detection with Spatial-Temporal Transformers Lu He Qianyu Zhou Xiangtai Li Li Niu Guangliang Cheng Xiao Li Wenxuan Liu Yu Tong Lizhuang Ma Liqing Zhang ViT 39 94 0 23 May 2021
Visual Saliency Transformer Nian Liu Ni Zhang Kaiyuan Wan Ling Shao Junwei Han ViT 243 281 0 25 Apr 2021
Salient Object Detection via Integrity Learning Mingchen Zhuge Deng-Ping Fan Nian Liu Dingwen Zhang Dong Xu Ling Shao AAML 53 289 0 19 Jan 2021