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DeepViT: Towards Deeper Vision Transformer
Vision transformers (ViTs) have been successfully applied in image class...
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Improving Generalization in Reinforcement Learning with Mixture Regularization
Deep reinforcement learning (RL) agents trained in a limited set of envi...
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Few-shot Classification via Adaptive Attention
Training a neural network model that can quickly adapt to a new task is ...
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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...
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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...
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Classification Calibration for Long-tail Instance Segmentation
Remarkable progress has been made in object instance detection and segme...
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Decoupling Representation and Classifier for Long-Tailed Recognition
The long-tail distribution of the visual world poses great challenges fo...
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Regularization Matters in Policy Optimization
Deep Reinforcement Learning (Deep RL) has been receiving increasingly mo...
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Transferable Recognition-Aware Image Processing
Recent progress in image recognition has stimulated the deployment of vi...
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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...
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Few-shot Object Detection via Feature Reweighting
This work aims to solve the challenging few-shot object detection proble...
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Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms
The question why deep learning algorithms generalize so well has attract...
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