Results 41 to 50 of about 21,191 (172)

Siamese Instance Search for Tracking [PDF]

, 2016
In this paper we present a tracker, which is radically different from state-of-the-art trackers: we apply no model updating, no occlusion detection, no combination of trackers, no geometric matching, and still deliver state-of-the-art tracking ...
Gavves, Efstratios, Smeulders, Arnold W. M., Tao, Ran   +2 more
core   +2 more sources

Similarity-based pairing improves efficiency of siamese neural networks for regression tasks and uncertainty quantification

Journal of Cheminformatics, 2023
Siamese networks, representing a novel class of neural networks, consist of two identical subnetworks sharing weights but receiving different inputs. Here we present a similarity-based pairing method for generating compound pairs to train Siamese neural ...
Yumeng Zhang, Janosch Menke, Jiazhen He, Eva Nittinger, Christian Tyrchan, Oliver Koch, Hongtao Zhao   +6 more
doaj   +1 more source

Optimization Method for Classifier Output Repeatability Based on Siamese Networks [PDF]

Jisuanji gongcheng
In industrial surface Quality Control (QC) scenarios, deep classification neural networks are widely used to classify product images for qualified judgment or quality grading.
YU Yongtao, SUN Ao, LI Ang, ZHU Linlin
doaj   +1 more source

Incorporating Siamese Network Structure into Graph Neural Network [PDF]

Journal of Physics: Conference Series, 2022
AbstractSiamese network plays an important role in many artificial intelligence domains, but there requires more exploration of applying Siamese structure to graph neural network. This paper proposes a novel framework that incorporates Siamese network structure into Graph Neural Network (Siam-GNN).
Yinan Zhang, Wenyu Chen
openaire   +1 more source

Prosodic-Enhanced Siamese Convolutional Neural Networks for Cross-Device Text-Independent Speaker Verification

, 2018
In this paper a novel cross-device text-independent speaker verification architecture is proposed. Majority of the state-of-the-art deep architectures that are used for speaker verification tasks consider Mel-frequency cepstral coefficients. In contrast,
Dabouei, Ali, Dawson, Jeremy, Iranmanesh, Seyed Mehdi, Kazemi, Hadi, Nasrabadi, Nasser M., Soleymani, Sobhan   +5 more
core   +1 more source

Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging

npj Digital Medicine, 2020
Using medical images to evaluate disease severity and change over time is a routine and important task in clinical decision making. Grading systems are often used, but are unreliable as domain experts disagree on disease severity category thresholds ...
Matthew D. Li, Ken Chang, Ben Bearce, Connie Y. Chang, Ambrose J. Huang, J. Peter Campbell, James M. Brown, Praveer Singh, Katharina V. Hoebel, Deniz Erdoğmuş, Stratis Ioannidis, William E. Palmer, Michael F. Chiang, Jayashree Kalpathy-Cramer   +13 more
doaj   +1 more source

CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks

, 2020
The unprecedented increase in the usage of computer vision technology in society goes hand in hand with an increased concern in data privacy. In many real-world scenarios like people tracking or action recognition, it is important to be able to process ...
Elezi, Ismail, Leal-Taixé, Laura, Maximov, Maxim   +2 more
core   +1 more source

Multiple Object Tracking via Feature Pyramid Siamese Networks

IEEE Access, 2019
When multiple object tracking (MOT) based on the tracking-by-detection paradigm is implemented, the similarity metric between the current detections and existing tracks plays an essential role. Most of the MOT schemes based on a deep neural network learn
Sangyun Lee, Euntai Kim
doaj   +1 more source

Multi-Loss Siamese Neural Network With Batch Normalization Layer for Malware Detection

IEEE Access, 2020
Malware detection is an essential task in cyber security. As the trend of malicious attacks grows, unknown malware detection with high accuracy becomes more and more challenging.
Jinting Zhu, Julian Jang-Jaccard, Paul A. Watters   +2 more
doaj   +1 more source

Multimodal One-Shot Learning of Speech and Images

, 2019
Imagine a robot is shown new concepts visually together with spoken tags, e.g. "milk", "eggs", "butter". After seeing one paired audio-visual example per class, it is shown a new set of unseen instances of these objects, and asked to pick the "milk ...
Eloff, Ryan, Engelbrecht, Herman A., Kamper, Herman   +2 more
core   +1 more source