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When CNNs Meet Random RNNs: Towards Multi-Level Analysis for RGB-D
  Object and Scene Recognition

When CNNs Meet Random RNNs: Towards Multi-Level Analysis for RGB-D Object and Scene Recognition

26 April 2020
Ali Caglayan
Nevrez Imamoglu
Ahmet Burak Can
Ryosuke Nakamura
ArXivPDFHTML

Papers citing "When CNNs Meet Random RNNs: Towards Multi-Level Analysis for RGB-D Object and Scene Recognition"

4 / 4 papers shown
Title
A Deep Learning-based Global and Segmentation-based Semantic Feature
  Fusion Approach for Indoor Scene Classification
A Deep Learning-based Global and Segmentation-based Semantic Feature Fusion Approach for Indoor Scene Classification
Ricardo Pereira
T. Barros
L. Garrote
Ana Lopes
U. J. Nunes
11
8
0
13 Feb 2023
Early or Late Fusion Matters: Efficient RGB-D Fusion in Vision
  Transformers for 3D Object Recognition
Early or Late Fusion Matters: Efficient RGB-D Fusion in Vision Transformers for 3D Object Recognition
Georgios Tziafas
H. Kasaei
ViT
43
10
0
03 Oct 2022
Towards real-time object recognition and pose estimation in point clouds
Towards real-time object recognition and pose estimation in point clouds
M. Marcon
O. Bellon
Luciano Silva
3DPC
3DH
19
2
0
27 Nov 2020
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
183
2,946
0
15 Dec 2014
1