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DEDUCE: Diverse scEne Detection methods in Unseen Challenging
  Environments

DEDUCE: Diverse scEne Detection methods in Unseen Challenging Environments

IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019
1 August 2019
Anwesan Pal
Carlos Nieto-Granda
H. Christensen
ArXiv (abs)PDFHTML

Papers citing "DEDUCE: Diverse scEne Detection methods in Unseen Challenging Environments"

14 / 14 papers shown
Household navigation and manipulation for everyday object rearrangement
  tasks
Household navigation and manipulation for everyday object rearrangement tasks
S. R. Iyer
Anwesan Pal
Jiaming Hu
Akanimoh Adeleye
Aditya Aggarwal
Henrik I. Christensen
301
2
0
11 Dec 2023
Inter-object Discriminative Graph Modeling for Indoor Scene Recognition
Inter-object Discriminative Graph Modeling for Indoor Scene RecognitionKnowledge-Based Systems (KBS), 2023
Chuanxin Song
Hanbo Wu
Xin Ma
323
12
0
10 Nov 2023
Semantic-embedded Similarity Prototype for Scene Recognition
Semantic-embedded Similarity Prototype for Scene RecognitionPattern Recognition (Pattern Recogn.), 2023
Chuanxin Song
Hanbo Wu
X. Ma
Yibin Li
383
5
0
11 Aug 2023
Semantic-guided modeling of spatial relation and object co-occurrence for indoor scene recognition
Semantic-guided modeling of spatial relation and object co-occurrence for indoor scene recognitionExpert systems with applications (ESWA), 2023
Chuanxin Song
Hanbo Wu
Xin Ma
408
2
0
22 May 2023
SRRM: Semantic Region Relation Model for Indoor Scene Recognition
SRRM: Semantic Region Relation Model for Indoor Scene RecognitionIEEE International Joint Conference on Neural Network (IJCNN), 2023
Chuanxin Song
Xin Ma
226
18
0
15 May 2023
Attentional Graph Convolutional Network for Structure-aware Audio-Visual
  Scene Classification
Attentional Graph Convolutional Network for Structure-aware Audio-Visual Scene ClassificationIEEE Transactions on Instrumentation and Measurement (IEEE Trans. Instrum. Meas.), 2022
Liguang Zhou
Yuhongze Zhou
Xiaonan Qi
Junjie Hu
Tin Lun Lam
Yangsheng Xu
265
17
0
31 Dec 2022
Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place
  Recognition
Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place RecognitionIEEE Robotics and Automation Letters (RA-L), 2022
M. Usman Maqbool Bhutta
Yuxiang Sun
Darwin Lau
Meilin Liu
253
8
0
10 Jan 2022
Object-to-Scene: Learning to Transfer Object Knowledge to Indoor Scene
  Recognition
Object-to-Scene: Learning to Transfer Object Knowledge to Indoor Scene Recognition
Bo Miao
Liguang Zhou
Lin Wang
Tin Lun Lam
Yangsheng Xu
156
30
0
01 Aug 2021
BORM: Bayesian Object Relation Model for Indoor Scene Recognition
BORM: Bayesian Object Relation Model for Indoor Scene Recognition
Liguang Zhou
Jun Cen
Xingchao Wang
Zhenglong Sun
Tin Lun Lam
Yangsheng Xu
139
21
0
01 Aug 2021
On the Challenges of Open World Recognitionunder Shifting Visual Domains
On the Challenges of Open World Recognitionunder Shifting Visual DomainsIEEE Robotics and Automation Letters (RA-L), 2021
Dario Fontanel
Fabio Cermelli
Goran Frehse
Barbara Caputo
191
1
0
09 Jul 2021
Hierarchical Bayesian Model for the Transfer of Knowledge on Spatial
  Concepts based on Multimodal Information
Hierarchical Bayesian Model for the Transfer of Knowledge on Spatial Concepts based on Multimodal Information
Y. Hagiwara
Keishiro Taguchi
Satoshi Ishibushi
Akira Taniguchi
T. Taniguchi
188
4
0
11 Mar 2021
Scene Retrieval for Contextual Visual Mapping
Scene Retrieval for Contextual Visual Mapping
William H. B. Smith
Michael Milford
Klaus D. McDonald-Maier
Shoaib Ehsan
163
1
0
25 Feb 2021
Learning hierarchical relationships for object-goal navigation
Learning hierarchical relationships for object-goal navigation
Yiding Qiu
Anwesan Pal
H. Christensen
326
8
0
15 Mar 2020
Looking at the right stuff: Guided semantic-gaze for autonomous driving
Looking at the right stuff: Guided semantic-gaze for autonomous drivingComputer Vision and Pattern Recognition (CVPR), 2019
Anwesan Pal
S. Mondal
H. Christensen
308
54
0
24 Nov 2019
1
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