ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2006.04307
  4. Cited By
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and
  Experimental Study

Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study

8 June 2020
Biao Gao
Yancheng Pan
Chengkun Li
Sibo Geng
Huijing Zhao
    3DPC
ArXivPDFHTML

Papers citing "Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study"

28 / 128 papers shown
Title
Vehicle Detection from 3D Lidar Using Fully Convolutional Network
Vehicle Detection from 3D Lidar Using Fully Convolutional Network
Bo Li
Tianlei Zhang
Tian Xia
3DPC
62
617
0
29 Aug 2016
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
261
8,552
0
16 Aug 2016
Playing for Data: Ground Truth from Computer Games
Playing for Data: Ground Truth from Computer Games
Stephan R. Richter
Vibhav Vineet
Stefan Roth
V. Koltun
VLM
120
2,009
0
07 Aug 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
735
37,846
0
20 May 2016
Improving Weakly-Supervised Object Localization By Micro-Annotation
Improving Weakly-Supervised Object Localization By Micro-Annotation
Alexander Kolesnikov
Christoph H. Lampert
43
28
0
18 May 2016
Context Encoders: Feature Learning by Inpainting
Context Encoders: Feature Learning by Inpainting
Deepak Pathak
Philipp Krahenbuhl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
SSL
67
5,293
0
25 Apr 2016
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic
  Segmentation
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation
Di Lin
Jifeng Dai
Jiaya Jia
Kaiming He
Jian Sun
SSeg
121
1,007
0
18 Apr 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,609
0
06 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
168
2,979
0
30 Mar 2016
Colorful Image Colorization
Colorful Image Colorization
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
127
3,529
0
28 Mar 2016
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image
  Segmentation
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation
Alexander Kolesnikov
Christoph H. Lampert
SSeg
50
747
0
19 Mar 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB
  model size
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
150
7,482
0
24 Feb 2016
Learning Transferrable Knowledge for Semantic Segmentation with Deep
  Convolutional Neural Network
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network
Seunghoon Hong
Junhyuk Oh
Bohyung Han
Honglak Lee
SSeg
86
174
0
24 Dec 2015
Towards Open Set Deep Networks
Towards Open Set Deep Networks
Abhijit Bendale
Terrance Boult
BDL
EDL
101
1,426
0
19 Nov 2015
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
Seunghoon Hong
Hyeonwoo Noh
Bohyung Han
SSeg
113
338
0
16 Jun 2015
Constrained Convolutional Neural Networks for Weakly Supervised
  Segmentation
Constrained Convolutional Neural Networks for Weakly Supervised Segmentation
Deepak Pathak
Philipp Krahenbuhl
Trevor Darrell
SSeg
85
613
0
11 Jun 2015
What's the Point: Semantic Segmentation with Point Supervision
What's the Point: Semantic Segmentation with Point Supervision
Amy Bearman
Olga Russakovsky
V. Ferrari
Li Fei-Fei
3DPC
98
985
0
06 Jun 2015
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
372
9,486
0
28 May 2015
Unsupervised Visual Representation Learning by Context Prediction
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRL
SSL
164
2,781
0
19 May 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
77,133
0
18 May 2015
A Deeper Look at Dataset Bias
A Deeper Look at Dataset Bias
Tatiana Tommasi
Novi Patricia
Barbara Caputo
Tinne Tuytelaars
97
327
0
06 May 2015
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks
  for Semantic Segmentation
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation
Jifeng Dai
Kaiming He
Jian Sun
185
1,045
0
05 Mar 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
220
5,196
0
10 Feb 2015
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image
  Segmentation
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation
George Papandreou
Liang-Chieh Chen
Kevin Patrick Murphy
Alan Yuille
SSeg
100
918
0
09 Feb 2015
Beyond Pixels: A Comprehensive Survey from Bottom-up to Semantic Image
  Segmentation and Cosegmentation
Beyond Pixels: A Comprehensive Survey from Bottom-up to Semantic Image Segmentation and Cosegmentation
Erik Cambria
Fanman Meng
Jianfei Cai
Shijian Lu
SSeg
3DV
80
230
0
03 Feb 2015
Fully Convolutional Multi-Class Multiple Instance Learning
Fully Convolutional Multi-Class Multiple Instance Learning
Deepak Pathak
Evan Shelhamer
Jonathan Long
Trevor Darrell
SSL
89
315
0
22 Dec 2014
Towards Open World Recognition
Towards Open World Recognition
Abhijit Bendale
Terrance Boult
76
565
0
18 Dec 2014
Deep Learning in Neural Networks: An Overview
Deep Learning in Neural Networks: An Overview
Jürgen Schmidhuber
HAI
243
16,354
0
30 Apr 2014
Previous
123