Single Image 3D Shape Retrieval via Cross-Modal Instance and Category Contrastive Learning

Author:

Lin Ming-Xian1,Yang Jie1,Wang He2,Lai Yu-Kun3,Jia Rongfei4,Zhao Binqiang4,Gao Lin1

Affiliation:

1. Institute of Computing Technology, Chinese Academy of Sciences,Beijing Key Laboratory of Mobile Computing and Pervasive Device

2. Peking University,Center on Frontiers of Computing Studies

3. Cardiff University,School of Computer Science and Informatics

4. Alibaba Group,Tao Technology Department

Funder

National Natural Science Foundation of China

Royal Society

Publisher

IEEE

Reference63 articles.

1. No Fuss Distance Metric Learning Using Proxies

2. Self-Supervised Learning of Pretext-Invariant Representations

3. Cross-Domain Image-Based 3D Shape Retrieval by View Sequence Learning

4. Infomax-gan: Improved adversarial image generation via information maximization and contrastive learning;lee;Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV),2021

5. 3D Object Representations for Fine-Grained Categorization

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2. Generalizing Single-View 3D Shape Retrieval to Occlusions and Unseen Objects;2024 International Conference on 3D Vision (3DV);2024-03-18

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4. Focus on Hard Samples: Hierarchical Unbiased Constraints for Cross-Domain 3D Model Retrieval;IEEE Transactions on Circuits and Systems for Video Technology;2023-11

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