22 citations · 71 across the 9 of their papers we have counts for
15 papers
Challenges of Artificial Intelligence -- From Machine Learning and Computer Vision to Emotional Intelligence
Matti Pietikäinen, Olli Silven
Artificial intelligence (AI) has become a part of everyday conversation and our lives. It is considered as the new electricity that is revolutionizing the world. AI is heavily inve…
Dynamic Binary Neural Network by learning channel-wise thresholds
Jiehua Zhang, Zhuo Su, Yanghe Feng +3
Binary neural networks (BNNs) constrain weights and activations to +1 or -1 with limited storage and computational cost, which is hardware-friendly for portable devices. Recently,…
Pixel Difference Networks for Efficient Edge Detection
Zhuo Su, Wenzhe Liu, Zitong Yu +5
Recently, deep Convolutional Neural Networks (CNNs) can achieve human-level performance in edge detection with the rich and abstract edge representation capacities. However, the hi…
Deep Learning for Scene Classification: A Survey
Delu Zeng, Minyu Liao, Mohammad Tavakolian +5
Scene classification, aiming at classifying a scene image to one of the predefined scene categories by comprehending the entire image, is a longstanding, fundamental and challengin…
FTBNN: Rethinking Non-linearity for 1-bit CNNs and Going Beyond
Zhuo Su, Linpu Fang, Deke Guo +3
Binary neural networks (BNNs), where both weights and activations are binarized into 1 bit, have been widely studied in recent years due to its great benefit of highly accelerated…
Dynamic Group Convolution for Accelerating Convolutional Neural Networks
Zhuo Su, Linpu Fang, Wenxiong Kang +3
Replacing normal convolutions with group convolutions can significantly increase the computational efficiency of modern deep convolutional networks, which has been widely adopted i…