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MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental
  Learning

MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning

11 July 2023
Julien Nicolas
Florent Chiaroni
Imtiaz Masud Ziko
Ola Ahmad
Christian Desrosiers
Jose Dolz
    VLMCLL
ArXiv (abs)PDFHTML

Papers citing "MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning"

29 / 29 papers shown
Title
Where are we in audio deepfake detection? A systematic analysis over generative and detection models
Where are we in audio deepfake detection? A systematic analysis over generative and detection models
Xiang Li
Pin-Yu Chen
Wenqi Wei
99
2
0
06 Oct 2024
DEJA VU: Continual Model Generalization For Unseen Domains
DEJA VU: Continual Model Generalization For Unseen Domains
Chenxi Liu
Lixu Wang
Lingjuan Lyu
Chen Sun
Tianlin Li
Qi Zhu
CLLOOD
87
22
0
25 Jan 2023
Understanding and Improving Visual Prompting: A Label-Mapping
  Perspective
Understanding and Improving Visual Prompting: A Label-Mapping Perspective
Aochuan Chen
Yuguang Yao
Pin-Yu Chen
Yihua Zhang
Sijia Liu
VPVLMVLM
139
82
0
21 Nov 2022
Visual Prompt Tuning for Generative Transfer Learning
Visual Prompt Tuning for Generative Transfer Learning
Kihyuk Sohn
Yuan Hao
José Lezama
Luisa F. Polanía
Huiwen Chang
Han Zhang
Irfan Essa
Lu Jiang
VPVLMVLM
150
86
0
03 Oct 2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for
  Domain Incremental Learning
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning
Yabin Wang
Zhiwu Huang
Xiaopeng Hong
CLLVLM
120
223
0
26 Jul 2022
NICO++: Towards Better Benchmarking for Domain Generalization
NICO++: Towards Better Benchmarking for Domain Generalization
Xingxuan Zhang
Linjun Zhou
Renzhe Xu
Haoxin Liu
Zheyan Shen
Peng Cui
OOD
88
78
0
17 Apr 2022
Visual Prompt Tuning
Visual Prompt Tuning
Menglin Jia
Luming Tang
Bor-Chun Chen
Claire Cardie
Serge Belongie
Bharath Hariharan
Ser-Nam Lim
VLMVPVLM
158
1,645
0
23 Mar 2022
Exact Feature Distribution Matching for Arbitrary Style Transfer and
  Domain Generalization
Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization
Yabin Zhang
Minghan Li
Ruihuang Li
Kui Jia
Lei Zhang
OOD
120
168
0
15 Mar 2022
Conditional Prompt Learning for Vision-Language Models
Conditional Prompt Learning for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VLMCLIPVPVLM
148
1,359
0
10 Mar 2022
Learning to Prompt for Continual Learning
Learning to Prompt for Continual Learning
Zifeng Wang
Zizhao Zhang
Chen-Yu Lee
Han Zhang
Ruoxi Sun
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLLVPVLMKELMVLM
105
796
0
16 Dec 2021
Prompting Visual-Language Models for Efficient Video Understanding
Prompting Visual-Language Models for Efficient Video Understanding
Chen Ju
Tengda Han
Kunhao Zheng
Ya Zhang
Weidi Xie
VPVLMVLM
100
381
0
08 Dec 2021
Self-Supervised Models are Continual Learners
Self-Supervised Models are Continual Learners
Enrico Fini
Victor G. Turrisi da Costa
Xavier Alameda-Pineda
Elisa Ricci
Alahari Karteek
Julien Mairal
BDLCLLSSL
88
166
0
08 Dec 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLMCLIPVLM
507
2,413
0
02 Sep 2021
Learning to Diversify for Single Domain Generalization
Learning to Diversify for Single Domain Generalization
Zijian Wang
Yadan Luo
Ruihong Qiu
Zi Huang
Mahsa Baktash
100
258
0
26 Aug 2021
Co$^2$L: Contrastive Continual Learning
Co2^22L: Contrastive Continual Learning
Hyuntak Cha
Jaeho Lee
Jinwoo Shin
CLLSSLVLM
116
306
0
28 Jun 2021
Rainbow Memory: Continual Learning with a Memory of Diverse Samples
Rainbow Memory: Continual Learning with a Memory of Diverse Samples
Jihwan Bang
Heesu Kim
Y. Yoo
Jung-Woo Ha
Jonghyun Choi
CLL
104
343
0
31 Mar 2021
How Many Data Points is a Prompt Worth?
How Many Data Points is a Prompt Worth?
Teven Le Scao
Alexander M. Rush
VLM
164
303
0
15 Mar 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
347
2,366
0
04 Mar 2021
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
401
6,844
0
13 Jun 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
172
4,580
0
23 Apr 2020
Dark Experience for General Continual Learning: a Strong, Simple
  Baseline
Dark Experience for General Continual Learning: a Strong, Simple Baseline
Pietro Buzzega
Matteo Boschini
Angelo Porrello
Davide Abati
Simone Calderara
BDLCLL
85
925
0
15 Apr 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
390
18,897
0
13 Feb 2020
Large Scale Incremental Learning
Large Scale Incremental Learning
Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Y. Fu
CLL
102
1,259
0
30 May 2019
Experience Replay for Continual Learning
Experience Replay for Continual Learning
David Rolnick
Arun Ahuja
Jonathan Richard Schwarz
Timothy Lillicrap
Greg Wayne
CLL
116
1,171
0
28 Nov 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and
  Intransigence
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
Arslan Chaudhry
P. Dokania
Thalaiyasingam Ajanthan
Philip Torr
CLL
105
1,145
0
30 Jan 2018
Gradient Episodic Memory for Continual Learning
Gradient Episodic Memory for Continual Learning
David Lopez-Paz
MarcÁurelio Ranzato
VLMCLL
131
2,738
0
26 Jun 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
374
7,572
0
02 Dec 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLLOODSSL
308
4,432
0
29 Jun 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
1.7K
39,615
0
01 Sep 2014
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