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PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers
  using Synthetic Scene Data

PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data

8 December 2022
Roei Herzig
Ofir Abramovich
Elad Ben-Avraham
Assaf Arbelle
Leonid Karlinsky
Ariel Shamir
Trevor Darrell
Amir Globerson
ArXivPDFHTML

Papers citing "PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data"

13 / 13 papers shown
Title
SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency
SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency
Cong Wang
Jin-shan Pan
Wanyu Lin
Jiangxin Dong
Xiaomei Wu
VLM
MDE
13
39
0
13 Mar 2023
MulT: An End-to-End Multitask Learning Transformer
MulT: An End-to-End Multitask Learning Transformer
Deblina Bhattacharjee
Tong Zhang
Sabine Süsstrunk
Mathieu Salzmann
ViT
21
62
0
17 May 2022
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D
  Scene Understanding
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding
Yujin Chen
Matthias Nießner
Angela Dai
3DPC
95
57
0
06 Dec 2021
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
203
1,651
0
15 Oct 2021
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
Tu Vu
Brian Lester
Noah Constant
Rami Al-Rfou
Daniel Matthew Cer
VLM
LRM
131
276
0
15 Oct 2021
Ego4D: Around the World in 3,000 Hours of Egocentric Video
Ego4D: Around the World in 3,000 Hours of Egocentric Video
Kristen Grauman
Andrew Westbury
Eugene Byrne
Zachary Chavis
Antonino Furnari
...
Mike Zheng Shou
Antonio Torralba
Lorenzo Torresani
Mingfei Yan
Jitendra Malik
EgoV
212
682
0
13 Oct 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
319
2,108
0
02 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
275
3,784
0
18 Apr 2021
Is Space-Time Attention All You Need for Video Understanding?
Is Space-Time Attention All You Need for Video Understanding?
Gedas Bertasius
Heng Wang
Lorenzo Torresani
ViT
272
1,939
0
09 Feb 2021
Differential Treatment for Stuff and Things: A Simple Unsupervised
  Domain Adaptation Method for Semantic Segmentation
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation
Zhonghao Wang
Mo Yu
Yunchao Wei
Rogerio Feris
Jinjun Xiong
Wen-mei W. Hwu
Thomas S. Huang
Humphrey Shi
OOD
173
232
0
18 Mar 2020
Image Generation from Scene Graphs
Image Generation from Scene Graphs
Justin Johnson
Agrim Gupta
Li Fei-Fei
GNN
208
809
0
04 Apr 2018
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Iro Armeni
S. Sax
Amir Zamir
Silvio Savarese
3DV
3DPC
108
864
0
03 Feb 2017
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
237
7,597
0
03 Jul 2012
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