Results 241 to 250 of about 695,054 (265)
Some of the next articles are maybe not open access.
Hedging Deep Features for Visual Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019Convolutional Neural Networks (CNNs) have been applied to visual tracking with demonstrated success in recent years. Most CNN-based trackers utilize hierarchical features extracted from a certain layer to represent the target. However, features from a certain layer are not always effective for distinguishing the target object from the backgrounds ...
Yuankai Qi +6 more
openaire +2 more sources
Deep feature extraction in the DCT domain
2016 23rd International Conference on Pattern Recognition (ICPR), 2016We explore the effectiveness of deep features extracted by Convolutional Neural Networks(CNNs) in the Discrete Cosine Transform(DCT) domain for various image classification tasks such as pedestrian and face detection, material identification and object recognition.
Arthita Ghosh, Rama Chellappa
openaire +1 more source
Deep Encoding Features for Instance Retrieval
2017In this paper, we propose a novel approach for instance retrieval. Compared with traditional retrieval pipeline, we first locate several candidate regions of target object with a region proposal network (RPN), instead of exhausting sliding window method. The candidate regions are detected through the trained RPN.
Zhiming Ding +2 more
openaire +1 more source
Deep survival forests with feature screening
Biomedical Signal Processing and Control, 2021Xuewei Cheng +4 more
openaire +1 more source
Deep-seated features histogram: A novel image retrieval method
Pattern Recognition, 2021Guang-Hai Liu
exaly
From Handcrafted to Deep Features for Pedestrian Detection: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022Yanwei Pang +2 more
exaly