FedVLN: Privacy-preserving Federated Vision-and-Language Navigation

28 March 2022

Papers citing "FedVLN: Privacy-preserving Federated Vision-and-Language Navigation"

5 / 5 papers shown

Title
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends Abolfazl Younesi Mohsen Ansari Mohammadamin Fazli A. Ejlali Muhammad Shafique Joerg Henkel 3DV 47 44 0 23 Feb 2024
Federated Natural Language Generation for Personalized Dialogue System Yujie Lu Chao-Wei Huang Huanli Zhan Yong Zhuang FedML 82 9 0 13 Oct 2021
Waypoint Models for Instruction-guided Navigation in Continuous Environments Jacob Krantz Aaron Gokaslan Dhruv Batra Stefan Lee Oleksandr Maksymets LM&Ro 137 76 0 05 Oct 2021
How Much Can CLIP Benefit Vision-and-Language Tasks? Sheng Shen Liunian Harold Li Hao Tan Joey Tianyi Zhou Anna Rohrbach Kai-Wei Chang Z. Yao Kurt Keutzer CLIP VLM MLLM 196 405 0 13 Jul 2021
Speaker-Follower Models for Vision-and-Language Navigation Daniel Fried Ronghang Hu Volkan Cirik Anna Rohrbach Jacob Andreas Louis-Philippe Morency Taylor Berg-Kirkpatrick Kate Saenko Dan Klein Trevor Darrell LM&Ro LRM 260 496 0 07 Jun 2018