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Squared ℓ_2 Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations
Data augmentation is one of the most popular techniques for improving th...
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Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection
Weakly Supervised Object Detection (WSOD) has emerged as an effective to...
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Self-Challenging Improves Cross-Domain Generalization
Convolutional Neural Networks (CNN) conduct image classification by acti...
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Multiple Anchor Learning for Visual Object Detection
Classification and localization are two pillars of visual object detecto...
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Improving Object Detection with Inverted Attention
Improving object detectors against occlusion, blur and noise is a critic...
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Large Margin Object Tracking with Circulant Feature Maps
Structured output support vector machine (SVM) based tracking algorithms...
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Zeyi Huang
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