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

28 March 2022

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

7 / 7 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
FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation Jingwen Guo Hong Liu Shitong Sun Tianyu Guo M. Zhang Chenyang Si 41 3 0 19 Jun 2023
Navigation as Attackers Wish? Towards Building Robust Embodied Agents under Federated Learning Yunchao Zhang Zonglin Di KAI-QING Zhou Cihang Xie Xin Eric Wang FedML AAML 21 1 0 27 Nov 2022
Federated Natural Language Generation for Personalized Dialogue System Yujie Lu Chao-Wei Huang Huanli Zhan Yong Zhuang FedML 85 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 199 405 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 260 498 0 07 Jun 2018