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In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
v1v2v3 (latest)

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

7 December 2017
Samuel Rota Buló
Lorenzo Porzi
Peter Kontschieder
ArXiv (abs)PDFHTMLGithub (1326★)

Papers citing "In-Place Activated BatchNorm for Memory-Optimized Training of DNNs"

50 / 184 papers shown
Title
A Contrastive Distillation Approach for Incremental Semantic
  Segmentation in Aerial Images
A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial Images
Edoardo Arnaudo
Fabio Cermelli
A. Tavera
Claudio Rossi
Barbara Caputo
CLL
47
9
0
07 Dec 2021
Incremental Learning in Semantic Segmentation from Image Labels
Incremental Learning in Semantic Segmentation from Image Labels
Fabio Cermelli
Dario Fontanel
A. Tavera
Marco Ciccone
Barbara Caputo
VLMCLL
82
49
0
03 Dec 2021
Multi-View Stereo with Transformer
Multi-View Stereo with Transformer
Jie Zhu
Bo Peng
Wanqing Li
Haifeng Shen
Zhe Zhang
Jianjun Lei
ViT
81
27
0
01 Dec 2021
Dense Prediction with Attentive Feature Aggregation
Dense Prediction with Attentive Feature Aggregation
Yung-Hsu Yang
Thomas E. Huang
Min Sun
Samuel Rota Buló
Peter Kontschieder
Feng Yu
86
7
0
01 Nov 2021
Warp-Refine Propagation: Semi-Supervised Auto-labeling via
  Cycle-consistency
Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency
Aditya Ganeshan
Alexis Vallet
Yasunori Kudo
S. Maeda
Tommi Kerola
Rares Andrei Ambrus
Dennis Park
Adrien Gaidon
AI4TS
116
13
0
28 Sep 2021
Predicting Driver Self-Reported Stress by Analyzing the Road Scene
Predicting Driver Self-Reported Stress by Analyzing the Road Scene
Cristina Bustos
Neska Elhaouij
Albert Solé-Ribalta
Javier Borge-Holthoefer
Àgata Lapedriza
Rosalind W. Picard
60
15
0
27 Sep 2021
Border-SegGCN: Improving Semantic Segmentation by Refining the Border
  Outline using Graph Convolutional Network
Border-SegGCN: Improving Semantic Segmentation by Refining the Border Outline using Graph Convolutional Network
Naina Dhingra
G. Chogovadze
A. Kunz
64
6
0
11 Sep 2021
Multi-domain semantic segmentation with overlapping labels
Multi-domain semantic segmentation with overlapping labels
Petra Bevandić
Marin Orsic
Ivan Grubišić
Josip Saric
Sinisa Segvic
81
14
0
25 Aug 2021
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel
  Classification
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification
Gabriel Bénédict
Vincent Koops
Daan Odijk
Maarten de Rijke
81
32
0
24 Aug 2021
Learning Deep Multimodal Feature Representation with Asymmetric
  Multi-layer Fusion
Learning Deep Multimodal Feature Representation with Asymmetric Multi-layer Fusion
Yikai Wang
F. Sun
Ming Lu
Anbang Yao
86
48
0
11 Aug 2021
Attention-based fusion of semantic boundary and non-boundary information
  to improve semantic segmentation
Attention-based fusion of semantic boundary and non-boundary information to improve semantic segmentation
Jefferson Fontinele
Gabriel Lefundes
Luciano Oliveira
66
0
0
05 Aug 2021
Standardized Max Logits: A Simple yet Effective Approach for Identifying
  Unexpected Road Obstacles in Urban-Scene Segmentation
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation
Sanghun Jung
Jungsoo Lee
Daehoon Gwak
Sungha Choi
Jaegul Choo
144
96
0
23 Jul 2021
End-to-end Trainable Deep Neural Network for Robotic Grasp Detection and
  Semantic Segmentation from RGB
End-to-end Trainable Deep Neural Network for Robotic Grasp Detection and Semantic Segmentation from RGB
Stefan Ainetter
Friedrich Fraundorfer
88
125
0
12 Jul 2021
DROID: Driver-centric Risk Object Identification
DROID: Driver-centric Risk Object Identification
Chengxi Li
Stanley H. Chan
Yi-Ting Chen
71
8
0
24 Jun 2021
Revisiting consistency for semi-supervised semantic segmentation
Revisiting consistency for semi-supervised semantic segmentation
Ivan Grubišić
Marin Orsic
Sinisa Segvic
31
5
0
13 Jun 2021
Multi-Scale Feature Aggregation by Cross-Scale Pixel-to-Region Relation
  Operation for Semantic Segmentation
Multi-Scale Feature Aggregation by Cross-Scale Pixel-to-Region Relation Operation for Semantic Segmentation
Yechao Bai
Ziyuan Huang
Lyuyu Shen
Hongliang Guo
Marcelo H. Ang Jr
Daniela Rus
SSeg
18
4
0
03 Jun 2021
Detecting Anomalies in Semantic Segmentation with Prototypes
Detecting Anomalies in Semantic Segmentation with Prototypes
Dario Fontanel
Fabio Cermelli
Massimiliano Mancini
Barbara Caputo
UQCV
78
14
0
01 Jun 2021
Towards Efficient Full 8-bit Integer DNN Online Training on
  Resource-limited Devices without Batch Normalization
Towards Efficient Full 8-bit Integer DNN Online Training on Resource-limited Devices without Batch Normalization
Yukuan Yang
Xiaowei Chi
Lei Deng
Tianyi Yan
Feng Gao
Guoqi Li
MQ
66
6
0
27 May 2021
Assessing bikeability with street view imagery and computer vision
Assessing bikeability with street view imagery and computer vision
Koichi Ito
Filip Biljecki
36
128
0
13 May 2021
"BNN - BN = ?": Training Binary Neural Networks without Batch
  Normalization
"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization
Tianlong Chen
Zhenyu Zhang
Xu Ouyang
Zechun Liu
Zhiqiang Shen
Zhangyang Wang
MQ
99
37
0
16 Apr 2021
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong
  Data Augmentation
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation
Jianlong Yuan
Yifan Liu
Chunhua Shen
Zhibin Wang
Hao Li
57
112
0
15 Apr 2021
Half-Real Half-Fake Distillation for Class-Incremental Semantic
  Segmentation
Half-Real Half-Fake Distillation for Class-Incremental Semantic Segmentation
Zilong Huang
Wentian Hao
Xinggang Wang
Mingyuan Tao
Jianqiang Huang
Wenyu Liu
Xiansheng Hua
CLL
44
12
0
02 Apr 2021
Glioblastoma Multiforme Prognosis: MRI Missing Modality Generation,
  Segmentation and Radiogenomic Survival Prediction
Glioblastoma Multiforme Prognosis: MRI Missing Modality Generation, Segmentation and Radiogenomic Survival Prediction
Mobarakol Islam
Navodini Wijethilake
Hongliang Ren
54
33
0
17 Mar 2021
High-Performance Large-Scale Image Recognition Without Normalization
High-Performance Large-Scale Image Recognition Without Normalization
Andrew Brock
Soham De
Samuel L. Smith
Karen Simonyan
VLM
302
523
0
11 Feb 2021
Dense outlier detection and open-set recognition based on training with
  noisy negative images
Dense outlier detection and open-set recognition based on training with noisy negative images
Petra Bevandić
Ivan Kreso
Marin Orsic
Sinisa Segvic
78
30
0
22 Jan 2021
Characterizing signal propagation to close the performance gap in
  unnormalized ResNets
Characterizing signal propagation to close the performance gap in unnormalized ResNets
Andrew Brock
Soham De
Samuel L. Smith
191
123
0
21 Jan 2021
The Ikshana Hypothesis of Human Scene Understanding
The Ikshana Hypothesis of Human Scene Understanding
Venkata Satya Sai Ajay Daliparthi
72
0
0
21 Jan 2021
AGRNet: Adaptive Graph Representation Learning and Reasoning for Face
  Parsing
AGRNet: Adaptive Graph Representation Learning and Reasoning for Face Parsing
Gusi Te
Wei Hu
Yinglu Liu
Hailin Shi
Tao Mei
CVBM3DH
179
29
0
18 Jan 2021
Training DNNs in O(1) memory with MEM-DFA using Random Matrices
Training DNNs in O(1) memory with MEM-DFA using Random Matrices
Tien Chu
Kamil Mykitiuk
Miron Szewczyk
Adam Wiktor
Z. Wojna
27
2
0
21 Dec 2020
Weakly-supervised Semantic Segmentation in Cityscape via Hyperspectral
  Image
Weakly-supervised Semantic Segmentation in Cityscape via Hyperspectral Image
Yuxing Huang
Shaodi You
Ying Fu
Qiu Shen
182
7
0
18 Dec 2020
Towards Recognizing New Semantic Concepts in New Visual Domains
Towards Recognizing New Semantic Concepts in New Visual Domains
Massimiliano Mancini
OOD
107
0
0
16 Dec 2020
Improving Panoptic Segmentation at All Scales
Improving Panoptic Segmentation at All Scales
Lorenzo Porzi
Samuel Rota Buló
Peter Kontschieder
88
16
0
14 Dec 2020
Self-Training for Class-Incremental Semantic Segmentation
Self-Training for Class-Incremental Semantic Segmentation
Lu Yu
Xialei Liu
Joost van de Weijer
CLLSSL
87
57
0
06 Dec 2020
Prototype-based Incremental Few-Shot Semantic Segmentation
Prototype-based Incremental Few-Shot Semantic Segmentation
Fabio Cermelli
Massimiliano Mancini
Yongqin Xian
Zeynep Akata
Barbara Caputo
VLMCLL
71
25
0
30 Nov 2020
Learning Affinity-Aware Upsampling for Deep Image Matting
Learning Affinity-Aware Upsampling for Deep Image Matting
Yutong Dai
Hao Lu
Chunhua Shen
70
57
0
29 Nov 2020
Scaling Wide Residual Networks for Panoptic Segmentation
Scaling Wide Residual Networks for Panoptic Segmentation
Liang-Chieh Chen
Huiyu Wang
Siyuan Qiao
SSeg
119
49
0
23 Nov 2020
Multi Receptive Field Network for Semantic Segmentation
Multi Receptive Field Network for Semantic Segmentation
Jianlong Yuan
Zelu Deng
Shu Wang
Zhenbo Luo
SSeg
67
24
0
17 Nov 2020
BirdSLAM: Monocular Multibody SLAM in Bird's-Eye View
BirdSLAM: Monocular Multibody SLAM in Bird's-Eye View
Swapnil Daga
Gokul B. Nair
Anirudh Ramesh
Rahul Sajnani
J. Ansari
K. M. Krishna
34
1
0
15 Nov 2020
Memory Optimization for Deep Networks
Memory Optimization for Deep Networks
Aashaka Shah
Chaoxia Wu
Jayashree Mohan
Vijay Chidambaram
Philipp Krahenbuhl
75
24
0
27 Oct 2020
PP-LinkNet: Improving Semantic Segmentation of High Resolution Satellite
  Imagery with Multi-stage Training
PP-LinkNet: Improving Semantic Segmentation of High Resolution Satellite Imagery with Multi-stage Training
An Tran
Ali Zonoozi
Jagannadan Varadarajan
Hannes Kruppa
SSeg
65
14
0
14 Oct 2020
HCNet: Hierarchical Context Network for Semantic Segmentation
HCNet: Hierarchical Context Network for Semantic Segmentation
Yanwen Chong
Congchong Nie
Yulong Tao
Xiaoshu Chen
S. Pan
30
4
0
10 Oct 2020
Robust Vision Challenge 2020 -- 1st Place Report for Panoptic
  Segmentation
Robust Vision Challenge 2020 -- 1st Place Report for Panoptic Segmentation
Rohit Mohan
Abhinav Valada
21
2
0
23 Aug 2020
Learning Discriminative Feature with CRF for Unsupervised Video Object
  Segmentation
Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation
Mingmin Zhen
Shiwei Li
Lei Zhou
Jiaxiang Shang
Haoan Feng
Tian Fang
Long Quan
VOS
102
61
0
04 Aug 2020
LevelSet R-CNN: A Deep Variational Method for Instance Segmentation
LevelSet R-CNN: A Deep Variational Method for Instance Segmentation
N. Homayounfar
Yuwen Xiong
Justin Liang
Wei-Chiu Ma
R. Urtasun
3DPC
95
25
0
30 Jul 2020
Edge-aware Graph Representation Learning and Reasoning for Face Parsing
Edge-aware Graph Representation Learning and Reasoning for Face Parsing
Gusi Te
Yinglu Liu
Wei Hu
Hailin Shi
Tao Mei
CVBM3DHGNN
106
65
0
22 Jul 2020
Improving Semantic Segmentation via Decoupled Body and Edge Supervision
Improving Semantic Segmentation via Decoupled Body and Edge Supervision
Xiangtai Li
Xia Li
Li Zhang
Guangliang Cheng
Jianping Shi
Zhouchen Lin
Shaohua Tan
Yunhai Tong
250
257
0
20 Jul 2020
SegFix: Model-Agnostic Boundary Refinement for Segmentation
SegFix: Model-Agnostic Boundary Refinement for Segmentation
Yuhui Yuan
Jingyi Xie
Xilin Chen
Jingdong Wang
ISeg
169
198
0
08 Jul 2020
Understanding Road Layout from Videos as a Whole
Understanding Road Layout from Videos as a Whole
Buyu Liu
Bingbing Zhuang
S. Schulter
Pan Ji
Manmohan Chandraker
48
21
0
02 Jul 2020
Class-Incremental Learning for Semantic Segmentation Re-Using Neither
  Old Data Nor Old Labels
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels
Marvin Klingner
Andreas Bär
Philipp Donn
Tim Fingscheidt
CLL
155
45
0
12 May 2020
Understanding Dynamic Scenes using Graph Convolution Networks
Understanding Dynamic Scenes using Graph Convolution Networks
Sravan Mylavarapu
Mahtab Sandhu
Priyesh Vijayan
K. M. Krishna
Balaraman Ravindran
A. Namboodiri
66
30
0
09 May 2020
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