Leveraging Self-Supervised Vision Transformers for Segmentation-based
Transfer Function Design

Leveraging Self-Supervised Vision Transformers for Segmentation-based Transfer Function Design

4 September 2023

Timo Ropinski

Papers citing "Leveraging Self-Supervised Vision Transformers for Segmentation-based Transfer Function Design"

8 / 8 papers shown

Title
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation Cheng Chen Juzheng Miao Dufan Wu Zhiling Yan Sekeun Kim ... Lichao Sun Xiang Li Tianming Liu Pheng-Ann Heng Quanzheng Li MedIm 49 58 0 16 Sep 2023
LViT: Language meets Vision Transformer in Medical Image Segmentation Zihan Li Yunxiang Li Qingde Li Puyang Wang Dazhou Guo Le Lu D. Jin You Zhang Qingqi Hong VLM MedIm 57 131 0 29 Jun 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 388 4,110 0 28 Jan 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,412 0 11 Nov 2021
MISSFormer: An Effective Medical Image Segmentation Transformer Xiaohong Huang Zhifang Deng Dandan Li Xueguang Yuan ViT MedIm 87 172 0 15 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 295 5,761 0 29 Apr 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,359 0 09 Mar 2020
The Fast Bilateral Solver Jonathan T. Barron Ben Poole 164 371 0 10 Nov 2015