SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation

16 August 2024

Papers citing "SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation"

6 / 6 papers shown

Title
When SAM2 Meets Video Camouflaged Object Segmentation: A Comprehensive Evaluation and Adaptation Yuli Zhou Guolei Sun Yawei Li Guo-Sen Xie Luca Benini Ender Konukoglu 20 3 0 27 Sep 2024
SAM 2: Segment Anything in Images and Videos Nikhila Ravi Valentin Gabeur Yuan-Ting Hu Ronghang Hu Chaitanya K. Ryali ... Nicolas Carion Chao-Yuan Wu Ross B. Girshick Piotr Dollár Christoph Feichtenhofer VLM MLLM 31 676 0 01 Aug 2024
AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning Duojun Huang Xinyu Xiong Jie Ma Jichang Li Zequn Jie Lin Ma Guanbin Li VLM 41 11 0 01 Jun 2024
CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects Ange Lou Shuyue Guan Hanseok Ko Murray H. Loew 114 185 0 16 Aug 2021
Camouflaged Object Segmentation with Distraction Mining Haiyang Mei Ge-Peng Ji Ziqi Wei Xin Yang Xiaopeng Wei Deng-Ping Fan 114 238 0 21 Apr 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 226 74,467 0 18 May 2015