HardBoost: Boosting Zero-Shot Learning with Hard Classes.
CoRR, 2022
Superpoint-guided Semi-supervised Semantic Segmentation of 3D Point Clouds.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
An Iterative Co-Training Transductive Framework for Zero Shot Learning.
IEEE Trans. Image Process., 2021
Semantic-diversity transfer network for generalized zero-shot learning via inner disagreement based OOD detector.
Knowl. Based Syst., 2021
SCSS-Net: Superpoint Constrained Semi-supervised Segmentation Network for 3D Indoor Scenes.
CoRR, 2021
Segmenting 3D Hybrid Scenes via Zero-Shot Learning.
CoRR, 2021
Rotation Transformation Network: Learning View-Invariant Point Cloud For Classification And Segmentation.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Hardness Sampling for Self-Training Based Transductive Zero-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Non-uniqueness Phenomenon of Object Representation in Modeling IT Cortex by Deep Convolutional Neural Network (DCNN).
Frontiers Comput. Neurosci., 2020
Zero-Shot Learning from Adversarial Feature Residual to Compact Visual Feature.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Non-uniqueness phenomenon of object representation in modelling IT cortex by deep convolutional neural network (DCNN).
CoRR, 2019
Comparison of IT Neural Response Statistics with Simulations.
Frontiers Comput. Neurosci., 2017