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Zero-shot point cloud segmentation aims to make deep models capable of recognizing novel objects in point cloud that are unseen in the training phase.
Learning to detect unseen object classes by between-class attribute transfer
Christoph H. Lampert, Hannes Nickisch, and Stefan Harmeling · 2009
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Label-embedding for attribute-based classification
Zeynep Akata, Florent Perronnin, Zaïd Harchaoui, and Cordelia Schmid · 2013
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Devise: A deep visual-semantic embedding model
Andrea Frome, Gregory S. Corrado, and etc · 2013
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Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Gregory S. Corrado, and Jeffrey Dean · 2013
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, and etc · 2013
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Toward open set recognition
Walter J. Scheirer, Anderson Rocha, Archana Sapkota, and Terrance E. Boult · 2013
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Attribute-based classification for zero-shot visual object categorization
Christoph H. Lampert, Hannes Nickisch, and Stefan Harmeling · 2014
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Zero-shot learning by convex combination of semantic embeddings
Mohammad Norouzi and etc · 2014
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning · 2014
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Evaluation of output embeddings for fine-grained image classification
Zeynep Akata, Scott E. Reed, and etc · 2015
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Exploring semantic inter-class relationships (sir) for zero-shot action recognition
Chuang Gan, Ming Lin, and etc · 2015
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Unsupervised domain adaptation for zero-shot learning
Elyor Kodirov, Tao Xiang, Zhenyong Fu, and Shaogang Gong · 2015
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An embarrassingly simple approach to zero-shot learning
Bernardino Romera-Paredes and etc · 2015
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Zero-shot learning via semantic similarity embedding
Ziming Zhang and etc · 2015
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Synthesized classifiers for zero-shot learning
Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, and Fei Sha · 2016
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Synthesized classifiers for zero-shot learning
Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, and Fei Sha · 2016
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An empirical study and analysis of generalized zero-shot learning for object recognition in the wild
Wei-Lun Chao, Soravit Changpinyo, Boqing Gong, and Fei Sha · 2016
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Transductive zero-shot recognition via shared model space learning
Yuchen Guo, Guiguang Ding, Xiaoming Jin, and Jianmin Wang · 2016
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Latent embeddings for zero-shot classification
Yongqin Xian, Zeynep Akata, and etc · 2016
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Generating visual representations for zero-shot classification
Max Bucher, Stéphane Herbin, and Frédéric Jurie · 2017
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Attributes2classname: A discriminative model for attribute-based unsupervised zero-shot learning
Berkan Demirel, Ramazan Gokberk Cinbis, and Nazli Ikizler-Cinbis · 2017
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Semantic autoencoder for zero-shot learning
Elyor Kodirov, Tao Xiang, and Shaogang Gong · 2017
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Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R. Qi, Hao Su, Kaichun Mo, and Leonidas J. Guibas · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin · 2017
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Deep semantic structural constraints for zero-shot learning
Yan Li, Zhen Jia, and etc · 2018
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A generative model for zero shot learning using conditional variational autoencoders
Ashish Mishra, M. Shiva Krishna Reddy, and etc · 2018
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Transductive unbiased embedding for zero-shot learning
Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, and Mingli Song · 2018
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Pointfusion: Deep sensor fusion for 3d bounding box estimation
Danfei Xu, Dragomir Anguelov, and Ashesh Jain · 2018
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Transductive zero-shot learning with a self-training dictionary approach
Yunlong Yu, Zhong Ji, Xi Li, Jichang Guo, Zhongfei Zhang, Haibin Ling, and Fei Wu · 2018
Cited alongside, same era.
Domain-invariant projection learning for zero-shot recognition
An Zhao, Mingyu Ding, and etc · 2018
Cited alongside, same era.
Generative zero-shot learning for semantic segmentation of 3d point clouds
Björn Michele, Alexandre Boulch, and etc · 2021
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A closer look at self-training for zero-label semantic segmentation
Giuseppe Pastore, Fabio Cermelli, Yongqin Xian, Massimiliano Mancini, Zeynep Akata, and Barbara Caputo · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, and etc · 2021
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Pointaugmenting: Cross-modal augmentation for 3d object detection
Chunwei Wang, Chao Ma, Ming Zhu, and Xiaokang Yang · 2021
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Rpvnet: A deep and efficient range-point-voxel fusion network for lidar point cloud segmentation
Jianyun Xu, Ruixiang Zhang, and etc · 2021
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A simple baseline for zero-shot semantic segmentation with pre-trained vision-language model
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J. Behley, M. Garbade, and etc · 2019
Cited alongside, same era.
Zero-shot semantic segmentation
Maxime Bucher, Tuan-Hung VU, Matthieu Cord, and Patrick Pérez · 2019
Cited alongside, same era.
nuscenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2019
Cited alongside, same era.
Mitigating the hubness problem for zero-shot learning of 3d objects
Ali Cheraghian, Shafin Rahman, Dylan Campbell, and Lars Petersson · 2019
Cited alongside, same era.
Zero-shot learning of 3d point cloud objects
Ali Cheraghian, Shafin Rahman, and Lars Petersson · 2019
Cited alongside, same era.
Zero-shot semantic segmentation via variational mapping
Naoki Kato, T. Yamasaki, and Kiyoharu Aizawa · 2019
Cited alongside, same era.
Semantic projection network for zero- and few-label semantic segmentation
Yongqin Xian, Subhabrata Choudhury, and etc · 2019
Cited alongside, same era.
Mengde Xu, Zheng Zhang, and etc · 2021
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Prototypical matching and open set rejection for zero-shot semantic segmentation
Hui Zhang and Henghui Ding · 2021
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Zero-shot instance segmentation
Ye Zheng, Jiahong Wu, Yongqiang Qin, Faen Zhang, and Li Cui · 2021
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Perception-aware multi-sensor fusion for 3d lidar semantic segmentation
Zhuangwei Zhuang and etc · 2021
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Transfusion: Robust lidar-camera fusion for 3d object detection with transformers
Xuyang Bai, Zeyu Hu, Xinge Zhu, Qingqiu Huang, Yilun Chen, Hongbo Fu, and Chiew-Lan Tai · 2022
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Zero-shot point cloud segmentation by transferring geometric primitives
Runnan Chen, Xinge Zhu, Nenglun Chen, Wei Li, Yuexin Ma, Ruigang Yang, and Wenping Wang · 2022
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Futr3d: A unified sensor fusion framework for 3d detection
Xuanyao Chen, Tianyuan Zhang, Yue Wang, Yilun Wang, and Hang Zhao · 2022
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Zero-shot learning on 3d point cloud objects and beyond
Ali Cheraghian, Shafin Rahman, Townim F Chowdhury, and etc · 2022
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Transfuser: Imitation with transformer-based sensor fusion for autonomous driving
Kashyap Chitta, Aditya Prakash, Bernhard Jaeger, Zehao Yu, Katrin Renz, and Andreas Geiger · 2022
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Decoupling zero-shot semantic segmentation
Jian Ding, Nan Xue, Guisong Xia, and Dengxin Dai · 2022
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Language-driven semantic segmentation
Boyi Li, Kilian Q. Weinberger, Serge J. Belongie, Vladlen Koltun, and René Ranftl · 2022
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Deepfusion: Lidar-camera deep fusion for multi-modal 3d object detection
Yingwei Li and etc · 2022
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Bevfusion: A simple and robust lidar-camera fusion framework
Tingting Liang, Hongwei Xie, Kaicheng Yu, Zhongyu Xia, Zhiwei Lin, Yongtao Wang, Tao Tang, Bing Wang, and Zhi Tang · 2022
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Image segmentation using text and image prompts
Timo Lüddecke and etc · 2022
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Groupvit: Semantic segmentation emerges from text supervision
Jiarui Xu, Shalini De Mello, and etc · 2022
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2dpass: 2d priors assisted semantic segmentation on lidar point clouds
Xu Yan, Jiantao Gao, Chaoda Zheng, Chaoda Zheng, Ruimao Zhang, Shenghui Cui, and Zhen Li · 2022
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Extract free dense labels from clip
Chong Zhou, Chen Change Loy, and Bo Dai · 2022
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Towards label-free scene understanding by vision foundation models, 2023
Runnan Chen, Youquan Liu, Lingdong Kong, Nenglun Chen, Xinge Zhu, Yuexin Ma, Tongliang Liu, and Wenping Wang · 2023
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Clip2scene: Towards label-efficient 3d scene understanding by clip, 2023
Runnan Chen, Youquan Liu, Lingdong Kong, Xinge Zhu, Yuexin Ma, Yikang Li, Yuenan Hou, Yu Qiao, and Wenping Wang · 2023
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Rethinking range view representation for lidar segmentation, 2023
Lingdong Kong, Youquan Liu, Runnan Chen, Yuexin Ma, Xinge Zhu, Yikang Li, Yuenan Hou, Yu Qiao, and Ziwei Liu · 2023
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