Fine Grained Generalized Zero Shot Learning Via Dense Attribute Based Attention

Authors: Dat Huynh, Ehsan Elhamifar Description: We address the problem of

Preprint: https://arxiv.org/pdf/2101.07978 Code: https://github.com/uqzhichen/SDGZSL Semantics Disentangling for

People can learn to recognize objects from a written description without any image samples, and yet, current deep network ...

Want to play with the technology yourself? Explore our interactive demo → https://ibm.biz/BdKkPk Learn more about the ...

This video gives an overview of the NeurIPS 2020 paper "No Subclass Left Behind:

Hello everyone this is a recorded presentation of a paper titled audiovisual

Authors: Faisal Alamri, Anjan Dutta.

Authors: Rohit Keshari, Richa Singh, Mayank Vatsa Description: A well trained and

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Authors: Zongyan Han, Zhenyong Fu, Jian Yang Description: Zero-shot object recognition or

... one is related to

Authors: Ziqian Lu, Yunlong Yu, Zhe-Ming Lu, Feng-Li Shen, Zhongfei Zhang Description: While promising progress has been ...

Authors: Jiamin Wu, Tianzhu Zhang, Zheng-Jun Zha, Jiebo Luo, Yongdong Zhang, Feng Wu Description:

Atzmon & Chechik, CVPR 2019 Project page: https://chechiklab.biu.ac.il/~yuvval/COSMO arXiv: https://arxiv.org/abs/1812.09903.

Technical Presentations Group 3, Algorithms, Foundations, Visualizations, and Engineering Applications:

... adversarial visual semantic coupling for

Authors: Dat Huynh, Ehsan Elhamifar Description: In this work, we develop a shared multi-

Authors: Zixuan Huang, Yin Li Description: We present an interpretable deep model for

Paper: https://arxiv.org/pdf/2107.03163.pdf Code: https://github.com/uqzhichen/GSMFlow Mitigating Generation Shifts for ...

Xi Hang Cao, Zoran Obradovic, Kyungnam Kim