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PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions


Apr 26, 2022
Zhaoqi Leng, Mingxing Tan, Chenxi Liu, Ekin Dogus Cubuk, Xiaojie Shi, Shuyang Cheng, Dragomir Anguelov

* International Conference on Learning Representations. 2021 

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Revisiting Multi-Scale Feature Fusion for Semantic Segmentation


Mar 23, 2022
Tianjian Meng, Golnaz Ghiasi, Reza Mahjorian, Quoc V. Le, Mingxing Tan


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DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection


Mar 15, 2022
Yingwei Li, Adams Wei Yu, Tianjian Meng, Ben Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Bo Wu, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan Yuille, Mingxing Tan

* CVPR 2022. 1st rank 3D detection method on Waymo Challenge Leaderboard: https://waymo.com/open/challenges/entry/?timestamp=1647356360224524&challenge=DETECTION_3D&emailId=5451f123-a0ea 

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Occupancy Flow Fields for Motion Forecasting in Autonomous Driving


Mar 08, 2022
Reza Mahjourian, Jinkyu Kim, Yuning Chai, Mingxing Tan, Ben Sapp, Dragomir Anguelov

* IEEE Robotics and Automation Letters 

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Combined Scaling for Zero-shot Transfer Learning


Nov 19, 2021
Hieu Pham, Zihang Dai, Golnaz Ghiasi, Hanxiao Liu, Adams Wei Yu, Minh-Thang Luong, Mingxing Tan, Quoc V. Le


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CoAtNet: Marrying Convolution and Attention for All Data Sizes


Jun 09, 2021
Zihang Dai, Hanxiao Liu, Quoc V. Le, Mingxing Tan


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MoViNets: Mobile Video Networks for Efficient Video Recognition


Apr 18, 2021
Dan Kondratyuk, Liangzhe Yuan, Yandong Li, Li Zhang, Mingxing Tan, Matthew Brown, Boqing Gong

* Accepted to CVPR 2021 

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EfficientNetV2: Smaller Models and Faster Training


Apr 01, 2021
Mingxing Tan, Quoc V. Le


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Robust and Accurate Object Detection via Adversarial Learning


Mar 26, 2021
Xiangning Chen, Cihang Xie, Mingxing Tan, Li Zhang, Cho-Jui Hsieh, Boqing Gong

* CVPR 2021. Models are available at https://github.com/google/automl/tree/master/efficientdet/Det-AdvProp.md 

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