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05/15/2023
GeNAS: Neural Architecture Search with Better Generalization
Neural Architecture Search (NAS) aims to automatically excavate the opti...
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03/27/2023
The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation
In this paper, we introduce a novel learning scheme named weakly semi-su...
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05/30/2022
Dataset Condensation via Efficient Synthetic-Data Parameterization
The great success of machine learning with massive amounts of data comes...
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04/04/2022
Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection
This paper analyses the design choices of face detection architecture th...
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10/08/2021
Observations on K-image Expansion of Image-Mixing Augmentation for Classification
Image-mixing augmentations (e.g., Mixup or CutMix), which typically mix ...
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07/16/2019
An Inter-Layer Weight Prediction and Quantization for Deep Neural Networks based on a Smoothly Varying Weight Hypothesis
Network compression for deep neural networks has become an important par...
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06/25/2019
