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RATT: Recurrent Attention to Transient Tasks for Continual Image
  Captioning
v1v2 (latest)

RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning

Neural Information Processing Systems (NeurIPS), 2020
13 July 2020
Riccardo Del Chiaro
Bartlomiej Twardowski
Andrew D. Bagdanov
Joost van de Weijer
    CLLVLM
ArXiv (abs)PDFHTML

Papers citing "RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning"

22 / 22 papers shown
Affordance-First Decomposition for Continual Learning in Video-Language Understanding
Affordance-First Decomposition for Continual Learning in Video-Language Understanding
Mengzhu Xu
Hanzhi Liu
Ningkang Peng
Qianyu Chen
Canran Xiao
CLL
232
3
0
30 Nov 2025
How to Teach Large Multimodal Models New Skills
How to Teach Large Multimodal Models New Skills
Zhen Zhu
Yiming Gong
Yao Xiao
Yaoyao Liu
Derek Hoiem
MLLMCLLKELM
230
3
0
09 Oct 2025
Uncertainty in Machine Learning
Uncertainty in Machine Learning
Hans Weytjens
Wouter Verbeke
UD
308
0
0
07 Oct 2025
Instruction-Grounded Visual Projectors for Continual Learning of Generative Vision-Language Models
Instruction-Grounded Visual Projectors for Continual Learning of Generative Vision-Language Models
Hyundong Jin
Hyung Jin Chang
Eunwoo Kim
VLM
167
1
0
01 Aug 2025
Efficiency Robustness of Dynamic Deep Learning Systems
Efficiency Robustness of Dynamic Deep Learning Systems
Ravishka Rathnasuriya
Tingxi Li
Zexin Xu
Zihe Song
Mirazul Haque
Simin Chen
Wei Yang
AAMLSILM
403
1
0
12 Jun 2025
LLaVA-CMoE: Towards Continual Mixture of Experts for Large Vision-Language Models
LLaVA-CMoE: Towards Continual Mixture of Experts for Large Vision-Language Models
Hengyuan Zhao
Ziqin Wang
Qixin Sun
Kaiyou Song
Yilin Li
Xiaolin Hu
Qingpei Guo
Si Liu
KELMCLLMoE
607
2
0
27 Mar 2025
A look under the hood of the Interactive Deep Learning Enterprise
  (No-IDLE)
A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE)
Daniel Sonntag
Michael Barz
Thiago S. Gouvêa
VLM
338
6
0
27 Jun 2024
Beyond Generic: Enhancing Image Captioning with Real-World Knowledge
  using Vision-Language Pre-Training Model
Beyond Generic: Enhancing Image Captioning with Real-World Knowledge using Vision-Language Pre-Training ModelACM Multimedia (ACM MM), 2023
Ka Leong Cheng
Wenpo Song
Zheng Ma
Wenhao Zhu
Zi-Yue Zhu
Jianbing Zhang
CLIPVLM
213
22
0
02 Aug 2023
Towards Adaptable and Interactive Image Captioning with Data
  Augmentation and Episodic Memory
Towards Adaptable and Interactive Image Captioning with Data Augmentation and Episodic Memory
Aliki Anagnostopoulou
Mareike Hartmann
Daniel Sonntag
CLLVLM
249
1
0
06 Jun 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and ApplicationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELMCLL
952
1,280
0
31 Jan 2023
Projected Subnetworks Scale Adaptation
Projected Subnetworks Scale Adaptation
Siddhartha Datta
N. Shadbolt
VLMCLL
271
0
0
27 Jan 2023
Task Formulation Matters When Learning Continually: A Case Study in
  Visual Question Answering
Task Formulation Matters When Learning Continually: A Case Study in Visual Question Answering
Mavina Nikandrou
Lu Yu
Alessandro Suglia
Ioannis Konstas
Verena Rieser
OOD
479
7
0
30 Sep 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on
  Continual Learning and Functional Composition
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
Jorge Armando Mendez Mendez
Eric Eaton
KELMCLL
404
37
0
15 Jul 2022
Prompt-based Learning for Unpaired Image Captioning
Prompt-based Learning for Unpaired Image CaptioningIEEE transactions on multimedia (IEEE TMM), 2022
Peipei Zhu
Tianlin Li
Lin Zhu
Zhenglong Sun
Weishi Zheng
Yaowei Wang
Chen Chen
VLM
280
50
0
26 May 2022
"This is my unicorn, Fluffy": Personalizing frozen vision-language
  representations
"This is my unicorn, Fluffy": Personalizing frozen vision-language representationsEuropean Conference on Computer Vision (ECCV), 2022
Niv Cohen
Rinon Gal
E. Meirom
Gal Chechik
Yuval Atzmon
VLMMLLM
437
116
0
04 Apr 2022
NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image
  Caption Generation Models
NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation ModelsComputer Vision and Pattern Recognition (CVPR), 2022
Simin Chen
Zihe Song
Mirazul Haque
Cong Liu
Wei Yang
233
58
0
29 Mar 2022
Towards Exemplar-Free Continual Learning in Vision Transformers: an
  Account of Attention, Functional and Weight Regularization
Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization
Francesco Pelosin
Saurav Jha
A. Torsello
Bogdan Raducanu
Joost van de Weijer
CLL
417
40
0
24 Mar 2022
Interactive Machine Learning for Image Captioning
Interactive Machine Learning for Image Captioning
Mareike Hartmann
Aliki Anagnostopoulou
Daniel Sonntag
VLM
259
4
0
28 Feb 2022
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An OverviewIET Computer Vision (ICV), 2021
Haoxuan Qu
Hossein Rahmani
Kepeng Xu
Bryan M. Williams
Jun Liu
VLMCLL
627
103
0
23 Sep 2021
From Show to Tell: A Survey on Deep Learning-based Image Captioning
From Show to Tell: A Survey on Deep Learning-based Image CaptioningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Matteo Stefanini
Marcella Cornia
Lorenzo Baraldi
S. Cascianelli
G. Fiameni
Rita Cucchiara
3DVVLMMLLM
580
373
0
14 Jul 2021
Online Continual Learning in Image Classification: An Empirical Survey
Online Continual Learning in Image Classification: An Empirical SurveyNeurocomputing (Neurocomputing), 2021
Zheda Mai
Ruiwen Li
Jihwan Jeong
David Quispe
Hyunwoo J. Kim
Scott Sanner
VLMCLL
664
499
0
25 Jan 2021
Class-incremental learning: survey and performance evaluation on image
  classification
Class-incremental learning: survey and performance evaluation on image classificationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Marc Masana
Xialei Liu
Bartlomiej Twardowski
Mikel Menta
Andrew D. Bagdanov
Joost van de Weijer
CLL
487
852
0
28 Oct 2020
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