Bingyi Kang

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National University of Singapore

Few-shot Classification via Adaptive Attention

Training a neural network model that can quickly adapt to a new task is ...
08/06/2020 ∙ by Zihang Jiang, et al. ∙ 0 ∙ share

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

Most existing object instance detection and segmentation models only wor...
07/23/2020 ∙ by Tao Wang, et al. ∙ 0 ∙ share

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

Solving long-tail large vocabulary object detection with deep learning b...
06/18/2020 ∙ by Yu Li, et al. ∙ 12 ∙ share

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Classification Calibration for Long-tail Instance Segmentation

Remarkable progress has been made in object instance detection and segme...
10/29/2019 ∙ by Tao Wang, et al. ∙ 23 ∙ share

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Decoupling Representation and Classifier for Long-Tailed Recognition

The long-tail distribution of the visual world poses great challenges fo...
10/21/2019 ∙ by Bingyi Kang, et al. ∙ 0 ∙ share

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Regularization Matters in Policy Optimization

Deep Reinforcement Learning (Deep RL) has been receiving increasingly mo...
10/21/2019 ∙ by Zhuang Liu, et al. ∙ 21 ∙ share

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Transferable Recognition-Aware Image Processing

Recent progress in image recognition has stimulated the deployment of vi...
10/21/2019 ∙ by Zhuang Liu, et al. ∙ 0 ∙ share

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Similarity R-C3D for Few-shot Temporal Activity Detection

Many activities of interest are rare events, with only a few labeled exa...
12/25/2018 ∙ by Huijuan Xu, et al. ∙ 4 ∙ share

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Few-shot Object Detection via Feature Reweighting

This work aims to solve the challenging few-shot object detection proble...
12/05/2018 ∙ by Bingyi Kang, et al. ∙ 0 ∙ share

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Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms

The question why deep learning algorithms generalize so well has attract...
02/07/2016 ∙ by Tom Zahavy, et al. ∙ 0 ∙ share

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Bingyi Kang

Featured Co-authors

Xin Wang

Jiashi Feng

Trevor Darrell

Shie Mannor

Kate Saenko

Tao Wang

Marcus Rohrbach

Huan Xu

Yu Li

Zhiqiang Shen

Fisher Yu

Few-shot Classification via Adaptive Attention

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

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

Classification Calibration for Long-tail Instance Segmentation

Decoupling Representation and Classifier for Long-Tailed Recognition

Regularization Matters in Policy Optimization

Transferable Recognition-Aware Image Processing

Similarity R-C3D for Few-shot Temporal Activity Detection

Few-shot Object Detection via Feature Reweighting

Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms