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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. ∙
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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. ∙
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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. ∙
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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. ∙
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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. ∙
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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. ∙
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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. ∙
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