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Cooperating RPN's Improve Few-Shot Object Detection

Nov 19, 2020
Weilin Zhang, Yu-Xiong Wang, David A. Forsyth


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Few-Shot Learning with Intra-Class Knowledge Transfer

Aug 22, 2020
Vivek Roy, Yan Xu, Yu-Xiong Wang, Kris Kitani, Ruslan Salakhutdinov, Martial Hebert


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Alpha Net: Adaptation with Composition in Classifier Space

Aug 17, 2020
Nadine Chang, Jayanth Koushik, Michael J. Tarr, Martial Hebert, Yu-Xiong Wang

* Under review 

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Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis

Aug 16, 2020
Zhipeng Bao, Yu-Xiong Wang, Martial Hebert


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Towards Streaming Image Understanding

May 21, 2020
Mengtian Li, Yu-Xiong Wang, Deva Ramanan

* Project page is at https://www.cs.cmu.edu/~mengtial/proj/streaming/ 

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Learning Generalizable Representations via Diverse Supervision

Nov 29, 2019
Ziqi Pang, Zhiyuan Hu, Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert


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Growing a Brain: Fine-Tuning by Increasing Model Capacity

Jul 18, 2019
Yu-Xiong Wang, Deva Ramanan, Martial Hebert

* CVPR 

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Image Deformation Meta-Networks for One-Shot Learning

May 28, 2019
Zitian Chen, Yanwei Fu, Yu-Xiong Wang, Lin Ma, Wei Liu, Martial Hebert

* Oral at CVPR2019 

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Learning Compositional Representations for Few-Shot Recognition

Dec 21, 2018
Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert


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Low-Shot Learning from Imaginary Data

Apr 03, 2018
Yu-Xiong Wang, Ross Girshick, Martial Hebert, Bharath Hariharan

* CVPR 2018 camera-ready version 

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