116 citations · 301 across the 21 of their papers we have counts for
3 papers · 1 filter
One-Shot Object Detection with Co-Attention and Co-Excitation
Ting-I Hsieh, Yi-Chen Lo, Hwann-Tzong Chen +1
This paper aims to tackle the challenging problem of one-shot object detection. Given a query image patch whose class label is not included in the training data, the goal of the ta…
ACE: Adaptive Confusion Energy for Natural World Data Distribution
Yen-Chi Hsu, Cheng-Yao Hong, Wan-Cyuan Fan +3
With the development of deep learning, standard classification problems have achieved good results. However, conventional classification problems are often too idealistic. Most dat…
C2S2: Cost-aware Channel Sparse Selection for Progressive Network Pruning
Chih-Yao Chiu, Hwann-Tzong Chen, Tyng-Luh Liu
This paper describes a channel-selection approach for simplifying deep neural networks. Specifically, we propose a new type of generic network layer, called pruning layer, to seaml…