Visual Prompt Selection for In-Context Learning Segmentation

Visual Prompt Selection for In-Context Learning Segmentation

14 July 2024

Peng Wang

Papers citing "Visual Prompt Selection for In-Context Learning Segmentation"

8 / 8 papers shown

Title
E-InMeMo: Enhanced Prompting for Visual In-Context Learning Jiahao Zhang Bowen Wang Hong Liu Liangzhi Li Yuta Nakashima Hajime Nagahara VLM 99 0 0 25 Apr 2025
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,402 0 28 Jan 2022
Unsupervised Selective Labeling for More Effective Semi-Supervised Learning Xudong Wang Long Lian Stella X. Yu 178 32 0 06 Oct 2021
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation Yundong Zhang Huiye Liu Qiang Hu ViT MedIm 198 883 0 16 Feb 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 1,311 0 17 Jan 2021
Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation Gen Luo Yiyi Zhou Xiaoshuai Sun Liujuan Cao Chenglin Wu Cheng Deng Rongrong Ji ObjD 159 286 0 19 Mar 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 432 15,595 0 02 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 232 75,445 0 18 May 2015