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3D object classification has been widely-applied into both academic and industrial scenarios.
Multitask learning: A knowledge-based source of inductive bias
Rich Caruana · 1993
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A lifelong learning perspective for mobile robot control
Sebastian Thrun · 1994
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Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes
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Combining scale-space and similarity-based aspect graphs for fast 3d object recognition
C. Wiedemann M. Ulrich and C. Steger · 2012
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Real-time model-based rigid object pose estimation and tracking combining dense and sparse visual cues
J. Diaz K. Pauwels, L. Rubio and E. Ros · 2013
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Paul Ruvolo and Eric Eaton · 2013
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Learning rich features from RGB-D images for object detection and segmentation
Saurabh Gupta, Ross B. Girshick, Pablo Andrés Arbeláez, and Jitendra Malik · 2014
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Aligning 3d models to RGB-D images of cluttered scenes
Saurabh Gupta, Pablo Andrés Arbeláez, Ross B. Girshick, and Jitendra Malik · 2015
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Learning descriptors for object recognition and 3d pose estimation
Paul Wohlhart and Vincent Lepetit · 2015
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3d shapenets: A deep representation for volumetric shapes
Zhirong Wu, Shuran Song, and et al · 2015
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Show, attend and tell: Neural image caption generation with visual attention
Kelvin Xu, Jimmy Ba, Ryan Kiros, and et al · 2015
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A novel multi-purpose matching representation of local 3d surfaces: A rotationally invariant, efficient, and highly discriminative approach with an adjustable sensitivity
Faisal R. Al-Osaimi · 2016
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A 3d version of the mnist database of handwritten digits, 2016
David de la Iglesia Castro · 2016
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Dynamic filter networks
Xu Jia, Bert De Brabandere, Tinne Tuytelaars, and Luc Van Gool · 2016
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Progressive neural networks
Andrei A Rusu, Neil C Rabinowitz, Guillaume Desjardins, Hubert Soyer, James Kirkpatrick, Koray Kavukcuoglu, Razvan Pascanu, and Raia Hadsell · 2016
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Bounding boxes, segmentations and object coordinates: How important is recognition for 3d scene flow estimation in autonomous driving scenarios?
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Rotational subgroup voting and pose clustering for robust 3d object recognition
Anders Glent Buch, Lilita Kiforenko, and Dirk Kraft · 2017
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SCA-CNN: spatial and channel-wise attention in convolutional networks for image captioning
Long Chen, Hanwang Zhang, Jun Xiao, and et al · 2017
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Overcoming catastrophic forgetting in neural networks
James Kirkpatrick, Razvan Pascanu, Neil C. Rabinowitz, and et al · 2017
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Hao Liu, Jiwen Lu, Jianjiang Feng, and Jie Zhou · 2017
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Lifelong inverse reinforcement learning
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Paris-lille-3d: A point cloud dataset for urban scene segmentation and classification
Xavier Roynard, Jean-Emmanuel Deschaud, and François Goulette · 2018
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Classification of hanging garments using learned features extracted from 3d point clouds
Jan Stria and Václav Hlavác · 2018
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Lifelong learning with dynamically expandable networks
Jaehong Yoon, Eunho Yang, Jeongtae Lee, and Sung Ju Hwang · 2018
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Speedup 3-d texture-less object recognition against self-occlusion for intelligent manufacturing
Yang Cong, Dongying Tian, Yun Feng, and et al · 2019
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Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles Ruizhongtai Qi, Hao Su, Kaichun Mo, and Leonidas J. Guibas · 2017
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J. Guibas · 2017
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icarl: Incremental classifier and representation learning
Sylvestre-Alvise Rebuffi, Alexander Kolesnikov, Georg Sperl, and Christoph H. Lampert · 2017
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3d object recognition in cluttered scenes with robust shape description and correspondence selection
Keke Tang, Peng Song, and Xiaoping Chen · 2017
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Continual learning through synaptic intelligence
Friedemann Zenke, Ben Poole, and Surya Ganguli · 2017
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Scalable lifelong reinforcement learning
Yusen Zhan, Haitham Bou-Ammar, and Matthew E. Taylor · 2017
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Deep virtual networks for memory efficient inference of multiple tasks
Eunwoo Kim, Chanho Ahn, and Philip H. S. Torr andSonghwai Oh · 2019
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Learning shared knowledge for deep lifelong learning using deconvolutional networks
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Efficient 3d object recognition via geometric information preservation
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A 3d-cnn and LSTM based multi-task learning architecture for action recognition
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Continual lifelong learning with neural networks: A review
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JSIS3D: joint semantic-instance segmentation of 3d point clouds with multi-task pointwise networks and multi-value conditional random fields
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Hyperface: A deep multi-task learning framework for face detection, landmark localization, pose estimation, and gender recognition
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