167 citations · 211 across the 8 of their papers we have counts for
5 papers · 1 filter
Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts
Kunpeng Li, Zizhao Zhang, Guanhang Wu +5
Learning visual knowledge from massive weakly-labeled web videos has attracted growing research interests thanks to the large corpus of easily accessible video data on the Internet…
A Simple Semi-Supervised Learning Framework for Object Detection
Kihyuk Sohn, Zizhao Zhang, Chun-Liang Li +3
Semi-supervised learning (SSL) has a potential to improve the predictive performance of machine learning models using unlabeled data. Although there has been remarkable recent prog…
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
Chen-Yu Lee, Tanmay Batra, Mohammad Haris Baig +1
In this work, we connect two distinct concepts for unsupervised domain adaptation: feature distribution alignment between domains by utilizing the task-specific decision boundary a…
Recursive Recurrent Nets with Attention Modeling for OCR in the Wild
Chen-Yu Lee, Simon Osindero
We present recursive recurrent neural networks with attention modeling (RAM) for lexicon-free optical character recognition in natural scene images. The primary advantages of t…
Training Deeper Convolutional Networks with Deep Supervision
Liwei Wang, Chen-Yu Lee, Zhuowen Tu +1
One of the most promising ways of improving the performance of deep convolutional neural networks is by increasing the number of convolutional layers. However, adding layers makes…