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Early Preparation Pays Off: New Classifier Pre-tuning for Class
  Incremental Semantic Segmentation

Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation

19 July 2024
Zhengyuan Xie
Haiquan Lu
Jia-Wen Xiao
Enguang Wang
Le Zhang
Xialei Liu
    CLL
ArXivPDFHTML

Papers citing "Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation"

13 / 13 papers shown
Title
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding
Thanh-Dat Truong
Utsav Prabhu
Bhiksha Raj
Jackson Cothren
Khoa Luu
CLL
82
3
0
27 Nov 2023
On the Stability-Plasticity Dilemma of Class-Incremental Learning
On the Stability-Plasticity Dilemma of Class-Incremental Learning
Dongwan Kim
Bohyung Han
CLL
26
49
0
04 Apr 2023
SegNeXt: Rethinking Convolutional Attention Design for Semantic
  Segmentation
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation
Meng-Hao Guo
Chenggang Lu
Qibin Hou
Zheng Liu
Ming-Ming Cheng
Shiyong Hu
SSeg
ViT
VLM
35
624
0
18 Sep 2022
Continual evaluation for lifelong learning: Identifying the stability
  gap
Continual evaluation for lifelong learning: Identifying the stability gap
Matthias De Lange
Gido M. van de Ven
Tinne Tuytelaars
CLL
131
41
0
26 May 2022
Masked-attention Mask Transformer for Universal Image Segmentation
Masked-attention Mask Transformer for Universal Image Segmentation
Bowen Cheng
Ishan Misra
Alex Schwing
Alexander Kirillov
Rohit Girdhar
ISeg
164
2,315
0
02 Dec 2021
RECALL: Replay-based Continual Learning in Semantic Segmentation
RECALL: Replay-based Continual Learning in Semantic Segmentation
Andrea Maracani
Umberto Michieli
Marco Toldo
Pietro Zanuttigh
VLM
CLL
64
114
0
08 Aug 2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with
  Transformers
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Enze Xie
Wenhai Wang
Zhiding Yu
Anima Anandkumar
J. Álvarez
Ping Luo
ViT
107
4,934
0
31 May 2021
Vision Transformers for Dense Prediction
Vision Transformers for Dense Prediction
René Ranftl
Alexey Bochkovskiy
V. Koltun
ViT
MDE
96
1,696
0
24 Mar 2021
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Mingkui Tan
Xinggang Wang
Wenyu Liu
Bin Xiao
253
3,572
0
20 Aug 2019
Large Scale Incremental Learning
Large Scale Incremental Learning
Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Y. Fu
CLL
72
1,241
0
30 May 2019
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
206
7,410
0
02 Dec 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLL
OOD
SSL
214
4,357
0
29 Jun 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
904
76,547
0
18 May 2015
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