Mvtn: Multi-view transformation network for 3d shape recognition
A Hamdi, S Giancola… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Multi-view projection methods have demonstrated their ability to reach state-of-the-art
performance on 3D shape recognition. Those methods learn different ways to aggregate …
performance on 3D shape recognition. Those methods learn different ways to aggregate …
Gvcnn: Group-view convolutional neural networks for 3d shape recognition
Abstract 3D shape recognition has attracted much attention recently. Its recent advances
advocate the usage of deep features and achieve the state-of-the-art performance. However …
advocate the usage of deep features and achieve the state-of-the-art performance. However …
Efficient salient region detection with soft image abstraction
Detecting visually salient regions in images is one of the fundamental problems in computer
vision. We propose a novel method to decompose an image into large scale perceptually …
vision. We propose a novel method to decompose an image into large scale perceptually …
View-based 3D object retrieval: challenges and approaches
View-based 3D object retrieval is an emerging research topic that has numerous geographic-
related applications in many fields, such as computer-aided design (CAD) and virtual city …
related applications in many fields, such as computer-aided design (CAD) and virtual city …
3-D object retrieval and recognition with hypergraph analysis
View-based 3-D object retrieval and recognition has become popular in practice, eg, in
computer aided design. It is difficult to precisely estimate the distance between two objects …
computer aided design. It is difficult to precisely estimate the distance between two objects …
Pvnet: A joint convolutional network of point cloud and multi-view for 3d shape recognition
3D object recognition has attracted wide research attention in the field of multimedia and
computer vision. With the recent proliferation of deep learning, various deep models with …
computer vision. With the recent proliferation of deep learning, various deep models with …
Block-row sparse multiview multilabel learning for image classification
In image analysis, the images are often represented by multiple visual features (also known
as multiview features), that aim to better interpret them for achieving remarkable …
as multiview features), that aim to better interpret them for achieving remarkable …
Visual-textual joint relevance learning for tag-based social image search
Due to the popularity of social media websites, extensive research efforts have been
dedicated to tag-based social image search. Both visual information and tags have been …
dedicated to tag-based social image search. Both visual information and tags have been …
Exploring deep learning for view-based 3D model retrieval
In recent years, view-based 3D model retrieval has become one of the research focuses in
the field of computer vision and machine learning. In fact, the 3D model retrieval algorithm …
the field of computer vision and machine learning. In fact, the 3D model retrieval algorithm …
MLVCNN: Multi-loop-view convolutional neural network for 3D shape retrieval
J Jiang, D Bao, Z Chen, X Zhao, Y Gao - Proceedings of the AAAI …, 2019 - ojs.aaai.org
Abstract 3D shape retrieval has attracted much attention and become a hot topic in computer
vision field recently. With the development of deep learning, 3D shape retrieval has also …
vision field recently. With the development of deep learning, 3D shape retrieval has also …