6 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.CV2020★ 4 cited
Attention-Aware Noisy Label Learning for Image Classification
Zhenzhen Wang, Chunyan Xu, Yap-Peng Tan +1
Deep convolutional neural networks (CNNs) learned on large-scale labeled samples have achieved remarkable progress in computer vision, such as image/video classification. The cheap…
cs.CV2019
Scaling Object Detection by Transferring Classification Weights
Jason Kuen, Federico Perazzi, Zhe Lin +2
Large scale object detection datasets are constantly increasing their size in terms of the number of classes and annotations count. Yet, the number of object-level categories annot…
cs.LG2018★ 6 cited
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
Jason Kuen, Xiangfei Kong, Zhe Lin +4
It is desirable to train convolutional networks (CNNs) to run more efficiently during inference. In many cases however, the computational budget that the system has for inference c…