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Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection


Sep 06, 2021
Jiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, Chunjing Xu

* To appear at ICCV 2021 

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Voxel Transformer for 3D Object Detection


Sep 06, 2021
Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu

* To appear at ICCV 2021 

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Greedy Network Enlarging


Aug 04, 2021
Chuanjian Liu, Kai Han, An Xiao, Yiping Deng, Wei Zhang, Chunjing Xu, Yunhe Wang


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CMT: Convolutional Neural Networks Meet Vision Transformers


Jul 15, 2021
Jianyuan Guo, Kai Han, Han Wu, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang


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$S^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks


Jul 07, 2021
Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia


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SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving


Jun 22, 2021
Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu


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One Million Scenes for Autonomous Driving: ONCE Dataset


Jun 21, 2021
Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Hang Xu, Chunjing Xu


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Universal Adder Neural Networks


Jun 10, 2021
Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Chunjing Xu, Tong Zhang

* arXiv admin note: substantial text overlap with arXiv:1912.13200 

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Adder Neural Networks


Jun 01, 2021
Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Chunjing Xu, Tong Zhang

* arXiv admin note: substantial text overlap with arXiv:1912.13200 

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Winograd Algorithm for AdderNet


May 12, 2021
Wenshuo Li, Hanting Chen, Mingqiang Huang, Xinghao Chen, Chunjing Xu, Yunhe Wang

* 9 pages, accepted by ICML2021 

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Distilling Object Detectors via Decoupled Features


Mar 26, 2021
Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu

* Accepted in CVPR 2021 

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Learning Frequency-aware Dynamic Network for Efficient Super-Resolution


Mar 15, 2021
Wenbin Xie, Dehua Song, Chang Xu, Chunjing Xu, Hui Zhang, Yunhe Wang


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Learning Frequency Domain Approximation for Binary Neural Networks


Mar 01, 2021
Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang

* 10 pages, 4 figures 

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Transformer in Transformer


Feb 27, 2021
Kai Han, An Xiao, Enhua Wu, Jianyuan Guo, Chunjing Xu, Yunhe Wang


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AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence


Feb 03, 2021
Yunhe Wang, Mingqiang Huang, Kai Han, Hanting Chen, Wei Zhang, Chunjing Xu, Dacheng Tao


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A Survey on Visual Transformer


Jan 30, 2021
Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao


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GhostSR: Learning Ghost Features for Efficient Image Super-Resolution


Jan 21, 2021
Ying Nie, Kai Han, Zhenhua Liu, An Xiao, Yiping Deng, Chunjing Xu, Yunhe Wang


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Pre-Trained Image Processing Transformer


Dec 03, 2020
Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao


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Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets


Oct 28, 2020
Kai Han, Yunhe Wang, Qiulin Zhang, Wei Zhang, Chunjing Xu, Tong Zhang

* NeurIPS 2020 

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SCOP: Scientific Control for Reliable Neural Network Pruning


Oct 21, 2020
Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu

* This paper is accepted by NeurIPS 2020. Key words: Filter Pruning, Adversarial Pruning, Network Compression, CNN, Deep Learning 

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Kernel Based Progressive Distillation for Adder Neural Networks


Oct 15, 2020
Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, Yunhe Wang

* Accepted by NeurIPS 2020, spotlight 

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Training Binary Neural Networks through Learning with Noisy Supervision


Oct 10, 2020
Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu

* ICML 2020 

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AdderSR: Towards Energy Efficient Image Super-Resolution


Sep 27, 2020
Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, DaCheng Tao


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