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Modeling the Background for Incremental Learning in Semantic
  Segmentation

Modeling the Background for Incremental Learning in Semantic Segmentation

3 February 2020
Fabio Cermelli
Massimiliano Mancini
Samuel Rota Buló
Elisa Ricci
Barbara Caputo
    CLL
    VLM
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Papers citing "Modeling the Background for Incremental Learning in Semantic Segmentation"

5 / 55 papers shown
Title
Self-Training for Class-Incremental Semantic Segmentation
Self-Training for Class-Incremental Semantic Segmentation
Lu Yu
Xialei Liu
Joost van de Weijer
CLL
SSL
20
54
0
06 Dec 2020
Online Continual Learning under Extreme Memory Constraints
Online Continual Learning under Extreme Memory Constraints
Enrico Fini
Stéphane Lathuilière
E. Sangineto
Moin Nabi
Elisa Ricci
CLL
35
63
0
04 Aug 2020
Boosting Deep Open World Recognition by Clustering
Boosting Deep Open World Recognition by Clustering
Dario Fontanel
Fabio Cermelli
Massimiliano Mancini
Samuel Rota Buló
Elisa Ricci
Barbara Caputo
12
21
0
20 Apr 2020
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
177
98
0
17 Mar 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,639
0
02 Nov 2015
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