89 citations · 188 across the 6 of their papers we have counts for
6 papers
3rd Place Solution for VisDA 2021 Challenge -- Universally Domain Adaptive Image Recognition
Haojin Liao, Xiaolin Song, Sicheng Zhao +7
The Visual Domain Adaptation (VisDA) 2021 Challenge calls for unsupervised domain adaptation (UDA) methods that can deal with both input distribution shift and label set variance b…
Scale-Consistent Fusion: from Heterogeneous Local Sampling to Global Immersive Rendering
Wenpeng Xing, Jie Chen, Zaifeng Yang +1
Image-based geometric modeling and novel view synthesis based on sparse, large-baseline samplings are challenging but important tasks for emerging multimedia applications such as v…
DyNet: Dynamic Convolution for Accelerating Convolutional Neural Networks
Yikang Zhang, Jian Zhang, Qiang Wang +1
Convolution operator is the core of convolutional neural networks (CNNs) and occupies the most computation cost. To make CNNs more efficient, many methods have been proposed to eit…
BETANAS: BalancEd TrAining and selective drop for Neural Architecture Search
Muyuan Fang, Qiang Wang, Zhao Zhong
Automatic neural architecture search techniques are becoming increasingly important in machine learning area. Especially, weight sharing methods have shown remarkable potentials on…
Adversarial AutoAugment
Xinyu Zhang, Qiang Wang, Jian Zhang +1
Data augmentation (DA) has been widely utilized to improve generalization in training deep neural networks. Recently, human-designed data augmentation has been gradually replaced b…
Vector and Line Quantization for Billion-scale Similarity Search on GPUs
Wei Chen, Jincai Chen, Fuhao Zou +4
Billion-scale high-dimensional approximate nearest neighbour (ANN) search has become an important problem for searching similar objects among the vast amount of images and videos a…