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CLAD: A realistic Continual Learning benchmark for Autonomous Driving

CLAD: A realistic Continual Learning benchmark for Autonomous Driving

7 October 2022
Eli Verwimp
Kuo Yang
Sarah Parisot
Hong Lanqing
Steven G. McDonagh
Eduardo Pérez-Pellitero
Matthias De Lange
Tinne Tuytelaars
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Papers citing "CLAD: A realistic Continual Learning benchmark for Autonomous Driving"

6 / 6 papers shown
Title
Architecture Matters in Continual Learning
Architecture Matters in Continual Learning
Seyed Iman Mirzadeh
Arslan Chaudhry
Dong Yin
Timothy Nguyen
Razvan Pascanu
Dilan Görür
Mehrdad Farajtabar
OOD
KELM
106
58
0
01 Feb 2022
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
Zhiqiu Lin
Jia Shi
Deepak Pathak
Deva Ramanan
CLL
VLM
129
91
0
17 Jan 2022
Is Class-Incremental Enough for Continual Learning?
Is Class-Incremental Enough for Continual Learning?
Andrea Cossu
G. Graffieti
Lorenzo Pellegrini
Davide Maltoni
D. Bacciu
Antonio Carta
Vincenzo Lomonaco
CLL
33
30
0
06 Dec 2021
Incremental Object Detection via Meta-Learning
Incremental Object Detection via Meta-Learning
K. J. Joseph
Jathushan Rajasegaran
Salman Khan
F. Khan
V. Balasubramanian
ObjD
CLL
VLM
166
96
0
17 Mar 2020
Bag of Tricks for Image Classification with Convolutional Neural
  Networks
Bag of Tricks for Image Classification with Convolutional Neural Networks
Tong He
Zhi-Li Zhang
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
210
1,391
0
04 Dec 2018
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
244
35,884
0
25 Aug 2016
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