Flexible visual prompts for in-context learning in computer vision

Flexible visual prompts for in-context learning in computer vision

11 December 2023

Christoffer Edlund

Thomas Varsavsky

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

10 / 10 papers shown

Title
Personalize Segment Anything Model with One Shot Renrui Zhang Zhengkai Jiang Ziyu Guo Shilin Yan Junting Pan Xianzheng Ma Hao Dong Peng Gao Hongsheng Li MLLM VLM 88 212 0 04 May 2023
UniverSeg: Universal Medical Image Segmentation V. Butoi Jose Javier Gonzalez Ortiz Tianyu Ma M. Sabuncu John Guttag Adrian Dalca 52 78 0 12 Apr 2023
Images Speak in Images: A Generalist Painter for In-Context Visual Learning Xinlong Wang Wen Wang Yue Cao Chunhua Shen Tiejun Huang VLM MLLM 87 249 0 05 Dec 2022
In-context Examples Selection for Machine Translation Sweta Agrawal Chunting Zhou M. Lewis Luke Zettlemoyer Marjan Ghazvininejad LRM 76 193 0 05 Dec 2022
BEiT: BERT Pre-Training of Image Transformers Hangbo Bao Li Dong Songhao Piao Furu Wei ViT 182 2,790 0 15 Jun 2021
Associating Objects with Transformers for Video Object Segmentation Zongxin Yang Yunchao Wei Yi Yang 48 286 0 04 Jun 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 328 1,343 0 17 Jan 2021
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation Xiang Li Tianhan Wei Yau Pun Chen Yu-Wing Tai Chi-Keung Tang VLM 50 245 0 29 Jul 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning Yaqing Wang Quanming Yao James T. Kwok L. Ni 74 1,802 0 10 Apr 2019
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 753 11,540 0 06 Apr 2016