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The CLEAR Benchmark: Continual LEArning on Real-World Imagery

The CLEAR Benchmark: Continual LEArning on Real-World Imagery

17 January 2022
Zhiqiu Lin
Jia Shi
Deepak Pathak
Deva Ramanan
    CLL
    VLM
ArXivPDFHTML

Papers citing "The CLEAR Benchmark: Continual LEArning on Real-World Imagery"

13 / 13 papers shown
Title
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples
Baiqi Li
Zhiqiu Lin
Wenxuan Peng
Jean de Dieu Nyandwi
Daniel Jiang
Zixian Ma
Simran Khanuja
Ranjay Krishna
Graham Neubig
Deva Ramanan
AAML
CoGe
VLM
41
20
0
18 Oct 2024
The impact of model size on catastrophic forgetting in Online Continual
  Learning
The impact of model size on catastrophic forgetting in Online Continual Learning
Eunhae Lee
CLL
21
0
0
28 Jun 2024
Non-stationary Domain Generalization: Theory and Algorithm
Non-stationary Domain Generalization: Theory and Algorithm
Thai-Hoang Pham
Xueru Zhang
Ping Zhang
OOD
31
1
0
10 May 2024
Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving
  in Dynamic Environments
Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving in Dynamic Environments
Benoît Gérin
Anaïs Halin
A. Cioppa
Maxim Henry
Bernard Ghanem
Benoît Macq
Christophe De Vleeschouwer
Marc Van Droogenbroeck
TTA
26
0
0
27 Apr 2024
Two Complementary Perspectives to Continual Learning: Ask Not Only What
  to Optimize, But Also How
Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How
Timm Hess
Tinne Tuytelaars
Gido M. van de Ven
23
7
0
08 Nov 2023
CLNeRF: Continual Learning Meets NeRF
CLNeRF: Continual Learning Meets NeRF
Zhipeng Cai
Matthias Mueller
CLL
8
15
0
28 Aug 2023
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio
  Detection
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection
Xiaohui Zhang
Jiangyan Yi
J. Tao
Chenglong Wang
Chuyuan Zhang
CLL
11
22
0
07 Aug 2023
Continual Learning as Computationally Constrained Reinforcement Learning
Continual Learning as Computationally Constrained Reinforcement Learning
Saurabh Kumar
Henrik Marklund
Anand Srinivasa Rao
Yifan Zhu
Hong Jun Jeon
Yueyang Liu
Benjamin Van Roy
CLL
14
21
0
10 Jul 2023
Task-Attentive Transformer Architecture for Continual Learning of
  Vision-and-Language Tasks Using Knowledge Distillation
Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation
Yuliang Cai
Jesse Thomason
Mohammad Rostami
VLM
CLL
6
11
0
25 Mar 2023
CLIP model is an Efficient Continual Learner
CLIP model is an Efficient Continual Learner
Vishal G. Thengane
Salman Khan
Munawar Hayat
F. Khan
BDL
VLM
CLL
88
43
0
06 Oct 2022
Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content!
Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content!
Stefan Smeu
Elena Burceanu
Andrei Liviu Nicolicioiu
Emanuela Haller
8
4
0
06 Oct 2022
Memory-Efficient Semi-Supervised Continual Learning: The World is its
  Own Replay Buffer
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer
James Smith
Jonathan C. Balloch
Yen-Chang Hsu
Z. Kira
CLL
112
35
0
23 Jan 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
229
3,029
0
09 Mar 2020
1