Flexible visual prompts for in-context learning in computer vision

11 December 2023

Papers citing "Flexible visual prompts for in-context learning in computer vision"

7 / 7 papers shown

Title
Few-shot In-context Learning for Knowledge Base Question Answering Tianle Li Xueguang Ma Alex Zhuang Yu Gu Yu-Chuan Su Wenhu Chen 94 75 0 02 May 2023
SHREC 2022: pothole and crack detection in the road pavement using images and RGB-D data E. M. Thompson A. Ranieri S. Biasotti Miguel Chicchon I. Sipiran Minh Pham Thang-Long Nguyen-Ho Hai-Dang Nguyen M. Tran 13 19 0 26 May 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
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer Zhihe Lu Sen He Xiatian Zhu Li Zhang Yi-Zhe Song Tao Xiang ViT 164 171 0 06 Aug 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,296 0 17 Jan 2021
Semantic Understanding of Scenes through the ADE20K Dataset Bolei Zhou Hang Zhao Xavier Puig Tete Xiao Sanja Fidler Adela Barriuso Antonio Torralba SSeg 249 1,817 0 18 Aug 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015