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Incremental Learning of Object Detectors without Catastrophic Forgetting

Incremental Learning of Object Detectors without Catastrophic Forgetting

23 August 2017
K. Shmelkov
Cordelia Schmid
Alahari Karteek
    ObjD
ArXivPDFHTML

Papers citing "Incremental Learning of Object Detectors without Catastrophic Forgetting"

40 / 90 papers shown
Title
Towards Generalized and Incremental Few-Shot Object Detection
Towards Generalized and Incremental Few-Shot Object Detection
Yiting Li
H. Zhu
Jun Ma
C. Teo
Chen Xiang
P. Vadakkepat
T. Lee
CLL
ObjD
26
9
0
23 Sep 2021
Few-Shot Batch Incremental Road Object Detection via Detector Fusion
Few-Shot Batch Incremental Road Object Detection via Detector Fusion
Anuj Tambwekar
Kshitij Agrawal
Anay Majee
A. Subramanian
ObjD
16
5
0
18 Aug 2021
Continual Semi-Supervised Learning through Contrastive Interpolation
  Consistency
Continual Semi-Supervised Learning through Contrastive Interpolation Consistency
Matteo Boschini
Pietro Buzzega
Lorenzo Bonicelli
Angelo Porrello
Simone Calderara
CLL
35
40
0
14 Aug 2021
DIODE: Dilatable Incremental Object Detection
DIODE: Dilatable Incremental Object Detection
Can Peng
Kun-li Zhao
Sam Maksoud
Tianren Wang
Brian C. Lovell
CLL
ObjD
27
9
0
12 Aug 2021
Multi-View Correlation Distillation for Incremental Object Detection
Multi-View Correlation Distillation for Incremental Object Detection
Dongbao Yang
Yu Zhou
Weiping Wang
24
59
0
05 Jul 2021
AutoNovel: Automatically Discovering and Learning Novel Visual
  Categories
AutoNovel: Automatically Discovering and Learning Novel Visual Categories
Kai Han
Sylvestre-Alvise Rebuffi
Sébastien Ehrhardt
Andrea Vedaldi
Andrew Zisserman
SSL
24
124
0
29 Jun 2021
DnS: Distill-and-Select for Efficient and Accurate Video Indexing and
  Retrieval
DnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval
Giorgos Kordopatis-Zilos
Christos Tzelepis
Symeon Papadopoulos
I. Kompatsiaris
Ioannis Patras
27
33
0
24 Jun 2021
Dynamic Language Models for Continuously Evolving Content
Dynamic Language Models for Continuously Evolving Content
Spurthi Amba Hombaiah
Tao Chen
Mingyang Zhang
Michael Bendersky
Marc Najork
CLL
KELM
40
37
0
11 Jun 2021
The Pursuit of Knowledge: Discovering and Localizing Novel Categories
  using Dual Memory
The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory
Sai Saketh Rambhatla
Ramalingam Chellappa
Abhinav Shrivastava
25
17
0
04 May 2021
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned
  Generation
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation
Mengyao Zhai
Lei Chen
Jiawei He
Megha Nawhal
Frederick Tung
Greg Mori
CLL
38
28
0
24 Apr 2021
Factors of Influence for Transfer Learning across Diverse Appearance
  Domains and Task Types
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types
Thomas Mensink
J. Uijlings
Alina Kuznetsova
Michael Gygli
V. Ferrari
VLM
43
80
0
24 Mar 2021
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental
  Learning
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning
A. Cheraghian
Shafin Rahman
Pengfei Fang
S. Roy
L. Petersson
Mehrtash Harandi
CLL
33
183
0
06 Mar 2021
Selective Replay Enhances Learning in Online Continual Analogical
  Reasoning
Selective Replay Enhances Learning in Online Continual Analogical Reasoning
Tyler L. Hayes
Christopher Kanan
CLL
31
20
0
06 Mar 2021
Towards Open World Object Detection
Towards Open World Object Detection
K. J. Joseph
Salman Khan
Fahad Shahbaz Khan
V. Balasubramanian
ObjD
30
448
0
03 Mar 2021
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting
Jiahua Dong
Yang Cong
Gan Sun
Bingtao Ma
Lichen Wang
3DPC
CLL
43
32
0
16 Dec 2020
Self-Training for Class-Incremental Semantic Segmentation
Self-Training for Class-Incremental Semantic Segmentation
Lu Yu
Xialei Liu
Joost van de Weijer
CLL
SSL
28
54
0
06 Dec 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling
Imbalanced Continual Learning with Partitioning Reservoir Sampling
C. Kim
Jinseo Jeong
Gunhee Kim
CLL
27
101
0
08 Sep 2020
Background Splitting: Finding Rare Classes in a Sea of Background
Background Splitting: Finding Rare Classes in a Sea of Background
Ravi Teja Mullapudi
Fait Poms
W. Mark
Deva Ramanan
Kayvon Fatahalian
VLM
37
9
0
28 Aug 2020
GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation
  in the Wild
GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild
Umberto Michieli
E. Borsato
Luca Rossi
Pietro Zanuttigh
42
39
0
17 Jul 2020
Tracking-by-Trackers with a Distilled and Reinforced Model
Tracking-by-Trackers with a Distilled and Reinforced Model
Matteo Dunnhofer
N. Martinel
C. Micheloni
VOT
OffRL
27
4
0
08 Jul 2020
GAN Memory with No Forgetting
GAN Memory with No Forgetting
Yulai Cong
Miaoyun Zhao
Jianqiao Li
Sijia Wang
Lawrence Carin
CLL
13
116
0
13 Jun 2020
Knowledge Distillation: A Survey
Knowledge Distillation: A Survey
Jianping Gou
B. Yu
Stephen J. Maybank
Dacheng Tao
VLM
19
2,851
0
09 Jun 2020
Learning to Segment the Tail
Learning to Segment the Tail
Xinting Hu
Yi Jiang
Kaihua Tang
Jingyuan Chen
Chunyan Miao
Hanwang Zhang
VLM
CLL
22
80
0
02 Apr 2020
Incremental Object Detection via Meta-Learning
Incremental Object Detection via Meta-Learning
K. J. Joseph
Jathushan Rajasegaran
Salman Khan
Fahad Shahbaz Khan
V. Balasubramanian
ObjD
CLL
VLM
177
98
0
17 Mar 2020
Modeling the Background for Incremental Learning in Semantic
  Segmentation
Modeling the Background for Incremental Learning in Semantic Segmentation
Fabio Cermelli
Massimiliano Mancini
Samuel Rota Buló
Elisa Ricci
Barbara Caputo
CLL
VLM
24
277
0
03 Feb 2020
Knowledge Distillation for Incremental Learning in Semantic Segmentation
Knowledge Distillation for Incremental Learning in Semantic Segmentation
Umberto Michieli
Pietro Zanuttigh
CLL
VLM
28
98
0
08 Nov 2019
Recent Advances in Deep Learning for Object Detection
Recent Advances in Deep Learning for Object Detection
Xiongwei Wu
Doyen Sahoo
Guosheng Lin
VLM
ObjD
32
799
0
10 Aug 2019
Lifelong GAN: Continual Learning for Conditional Image Generation
Lifelong GAN: Continual Learning for Conditional Image Generation
Mengyao Zhai
Lei Chen
Frederick Tung
Jiawei He
Megha Nawhal
Greg Mori
CLL
36
180
0
23 Jul 2019
GAN-Knowledge Distillation for one-stage Object Detection
GAN-Knowledge Distillation for one-stage Object Detection
Wanwei Wang
Jin ke Yu Fan Zong
ObjD
22
28
0
20 Jun 2019
Large Scale Incremental Learning
Large Scale Incremental Learning
Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Y. Fu
CLL
13
1,230
0
30 May 2019
Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image
  Retrieval
Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval
Qing Liu
Lingxi Xie
Huiyu Wang
Alan Yuille
VLM
27
108
0
05 Apr 2019
RILOD: Near Real-Time Incremental Learning for Object Detection at the
  Edge
RILOD: Near Real-Time Incremental Learning for Object Detection at the Edge
Dawei Li
Serafettin Tasci
Shalini Ghosh
Jingwen Zhu
Junting Zhang
Larry Heck
ObjD
6
9
0
26 Mar 2019
Class-incremental Learning via Deep Model Consolidation
Class-incremental Learning via Deep Model Consolidation
Junting Zhang
Jie Zhang
Shalini Ghosh
Dawei Li
Serafettin Tasci
Larry Heck
Heming Zhang
C.-C. Jay Kuo
CLL
27
334
0
19 Mar 2019
Incremental Deep Learning for Robust Object Detection in Unknown
  Cluttered Environments
Incremental Deep Learning for Robust Object Detection in Unknown Cluttered Environments
Dongwha Shin
M. Ahmed
P. Rhee
ObjD
26
20
0
13 Oct 2018
Active Learning for Deep Object Detection
Active Learning for Deep Object Detection
C. Brust
Christoph Käding
Joachim Denzler
VLM
ObjD
15
115
0
26 Sep 2018
Recent Advances in Object Detection in the Age of Deep Convolutional
  Neural Networks
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
ObjD
24
123
0
10 Sep 2018
Iterative Attention Mining for Weakly Supervised Thoracic Disease
  Pattern Localization in Chest X-Rays
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays
Jinzheng Cai
Le Lu
Adam P. Harrison
Xiaoshuang Shi
Pingjun Chen
L. Yang
25
54
0
03 Jul 2018
Incremental Classifier Learning with Generative Adversarial Networks
Incremental Classifier Learning with Generative Adversarial Networks
Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Zhengyou Zhang
Y. Fu
GAN
29
107
0
02 Feb 2018
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to
  Mask Weights
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights
Arun Mallya
Dillon Davis
Svetlana Lazebnik
CLL
15
35
0
19 Jan 2018
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
Arun Mallya
Svetlana Lazebnik
CLL
44
1,273
0
15 Nov 2017
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