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3D cross-modal retrieval is gaining attention in the multimedia community.
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A feature transformation framework with selective pseudo-labeling for 2D image-based 3D shape retrieval
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Later among the works it cites.
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Xiaokang Peng, Yake Wei, Andong Deng, Dong Wang, and Di Hu. 2022 · 2022
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Universal Weighting Metric Learning for Cross-Modal Retrieval
Jiwei Wei, Yang Yang, Xing Xu, Xiaofeng Zhu, and Heng Tao Shen. 2022 · 2022
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IHEM Loss: Intra-Class Hard Example Mining Loss for Robust Face Recognition
Degui Xiao, Jiazhi Li, Jianfang Li, Shiping Dong, and Tao Lu. 2022 · 2022
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Negative-Aware Attention Framework for Image-Text Matching. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022 . IEEE, 15640–15649
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Learning Transferable and Discriminative Representations for 2D Image-Based 3D Model Retrieval
Yaqian Zhou, Yu Liu, Heyu Zhou, Zhiyong Cheng, Xuanya Li, and An-An Liu. 2022 · 2022
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Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction
Zhenguang Liu, Shuang Wu, Shuyuan Jin, Shouling Ji, Qi Liu, Shijian Lu, and Li Cheng. 2023 · 2023
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Less is Better: Exponential Loss for Cross-Modal Matching
Jiwei Wei, Yang Yang, Xing Xu, Jingkuan Song, Guoqing Wang, and Heng Tao Shen. 2023 · 2023
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