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The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation

Jul 31, 2020
Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Junhao Liew, Sheng Tang, Steven Hoi, Jiashi Feng

* LVIS 2019 challenge winner, performance significantly improved after challenge submission, accepted at ECCV 2019 

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Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition

Jul 12, 2020
Chenyang Si, Xuecheng Nie, Wei Wang, Liang Wang, Tieniu Tan, Jiashi Feng

* Accepted by ECCV2020 

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Combating Domain Shift with Self-Taught Labeling

Jul 08, 2020
Jian Liang, Dapeng Hu, Jiashi Feng


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Rethinking Bottleneck Structure for Efficient Mobile Network Design

Jul 07, 2020
Zhou Daquan, Qibin Hou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan

* 24 pages, published as a ECCV20 conference paper 

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Local Grid Rendering Networks for 3D Object Detection in Point Clouds

Jul 04, 2020
Jianan Li, Jiashi Feng


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Inference Stage Optimization for Cross-scenario 3D Human Pose Estimation

Jul 04, 2020
Jianfeng Zhang, Xuecheng Nie, Jiashi Feng


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Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax

Jun 18, 2020
Yu Li, Tao Wang, Bingyi Kang, Sheng Tang, Chunfeng Wang, Jintao Li, Jiashi Feng

* CVPR 2020 (Oral). Code is available at https://github.com/FishYuLi/BalancedGroupSoftmax 

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Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation

Jun 14, 2020
Kuangqi Zhou, Qibin Hou, Zun Li, Jiashi Feng


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Effective Training Strategies for Deep Graph Neural Networks

Jun 12, 2020
Kuangqi Zhou, Yanfei Dong, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng

* Code is available at  

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Boosting Few-Shot Learning With Adaptive Margin Loss

May 28, 2020
Aoxue Li, Weiran Huang, Xu Lan, Jiashi Feng, Zhenguo Li, Liwei Wang

* Accepted by CVPR 2020 

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RAIN: Robust and Accurate Classification Networks with Randomization and Enhancement

Apr 24, 2020
Jiawei Du, Hanshu Yan, Joey Tianyi Zhou, Rick Siow Mong Goh, Jiashi Feng


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PANDA: Prototypical Unsupervised Domain Adaptation

Apr 12, 2020
Dapeng Hu, Jian Liang, Qibin Hou, Hanshu Yan, Yunpeng Chen, Shuicheng Yan, Jiashi Feng


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Strip Pooling: Rethinking Spatial Pooling for Scene Parsing

Mar 30, 2020
Qibin Hou, Li Zhang, Ming-Ming Cheng, Jiashi Feng

* Published as a CVPR2020 paper 

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A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation

Mar 05, 2020
Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng


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Cross-layer Feature Pyramid Network for Salient Object Detection

Feb 25, 2020
Zun Li, Congyan Lang, Junhao Liew, Qibin Hou, Yidong Li, Jiashi Feng

* 10 pages, 7 figures 

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Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation

Feb 20, 2020
Jian Liang, Dapeng Hu, Jiashi Feng


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MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection

Feb 13, 2020
Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li


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ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning

Feb 11, 2020
Weihao Yu, Zihang Jiang, Yanfei Dong, Jiashi Feng

* to be published in ICLR 2020 

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PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detection

Dec 30, 2019
Yue Liao, Si Liu, Fei Wang, Yanjie Chen, Jiashi Feng

* Tech Report 

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RC-DARTS: Resource Constrained Differentiable Architecture Search

Dec 30, 2019
Xiaojie Jin, Jiang Wang, Joshua Slocum, Ming-Hsuan Yang, Shengyang Dai, Shuicheng Yan, Jiashi Feng

* Tech report 

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Zoom in to where it matters: a hierarchical graph based model for mammogram analysis

Dec 16, 2019
Hao Du, Jiashi Feng, Mengling Feng


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Efficient Differentiable Neural Architecture Search with Meta Kernels

Dec 10, 2019
Shoufa Chen, Yunpeng Chen, Shuicheng Yan, Jiashi Feng


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Classification Calibration for Long-tail Instance Segmentation

Nov 02, 2019
Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven Hoi, Jiashi Feng

* This report presents our winning solution to LVIS 2019 challenge 

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Decoupling Representation and Classifier for Long-Tailed Recognition

Oct 21, 2019
Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis


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