output
20022026
most citedDeep Isolation Forest for Anomaly Detection

541 citations

Showing 2019 · cs.CVShow all

5 papers · 2 filters

cs.CV2019★ 103 cited

FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging

Doyen Sahoo, Wang Hao, Shu Ke +5

An important aspect of health monitoring is effective logging of food consumption. This can help management of diet-related diseases like obesity, diabetes, and even cardiovascular…

cs.CV2019★ 25 cited

Recent Advances in Deep Learning for Object Detection

Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi

Object detection is a fundamental visual recognition problem in computer vision and has been widely studied in the past decades. Visual object detection aims to find objects of cer…

cs.CV2019★ 2 cited

Prior Activation Distribution (PAD): A Versatile Representation to Utilize DNN Hidden Units

Lakmal Meegahapola, Vengateswaran Subramaniam, Lance Kaplan +1

In this paper, we introduce the concept of Prior Activation Distribution (PAD) as a versatile and general technique to capture the typical activation patterns of hidden layer units…

cs.CV2019★ 150 cited

Distilled Siamese Networks for Visual Tracking

Jianbing Shen, Yuanpei Liu, Xingping Dong +3

In recent years, Siamese network based trackers have significantly advanced the state-of-the-art in real-time tracking. Despite their success, Siamese trackers tend to suffer from…

cs.CV2019★ 134 cited

An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning

Yaoyao Liu, Bernt Schiele, Qianru Sun

Few-shot learning aims to train efficient predictive models with a few examples. The lack of training data leads to poor models that perform high-variance or low-confidence predict…