MulT: An End-to-End Multitask Learning Transformer

MulT: An End-to-End Multitask Learning Transformer

17 May 2022

Deblina Bhattacharjee

Tong Zhang

Sabine Süsstrunk

Mathieu Salzmann

Papers citing "MulT: An End-to-End Multitask Learning Transformer"

9 / 9 papers shown

Title
SGW-based Multi-Task Learning in Vision Tasks Ruiyuan Zhang Yuyao Chen Yuchi Huo Jiaxiang Liu Dianbing Xi Jie Liu Chao Wu 20 0 0 03 Oct 2024
AutoTask: Task Aware Multi-Faceted Single Model for Multi-Task Ads Relevance Shouchang Guo Sonam Damani Keng-hao Chang 16 0 0 09 Jul 2024
4M: Massively Multimodal Masked Modeling David Mizrahi Roman Bachmann Ouguzhan Fatih Kar Teresa Yeo Mingfei Gao Afshin Dehghan Amir Zamir MLLM 23 62 0 11 Dec 2023
PolyMaX: General Dense Prediction with Mask Transformer Xuan S. Yang Liangzhe Yuan Kimberly Wilber Astuti Sharma Xiuye Gu ... Stephanie Debats Huisheng Wang Hartwig Adam Mikhail Sirotenko Liang-Chieh Chen 18 14 0 09 Nov 2023
Multi-Similarity Contrastive Learning Emily Mu John Guttag Maggie Makar SSL 18 2 0 06 Jul 2023
InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene Understanding Hanrong Ye Dan Xu ViT 8 10 0 08 Jun 2023
MTLSegFormer: Multi-task Learning with Transformers for Semantic Segmentation in Precision Agriculture D. Gonçalves J. M. Junior Pedro Zamboni H. Pistori Jonathan Li Keiller Nogueira W. Gonçalves 19 5 0 04 May 2023
Are Transformers More Robust Than CNNs? Yutong Bai Jieru Mei Alan Yuille Cihang Xie ViT AAML 167 256 0 10 Nov 2021
A Decomposable Attention Model for Natural Language Inference Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit 190 1,358 0 06 Jun 2016