Results 61 to 70 of about 4,017 (161)

Research on Siamese Object Tracking Algorithm Based on Knowledge Distillation in Marine Environment

IEEE Access, 2023
Siamese networks have gained considerable attention for object tracking due to their balance of speed and accuracy. However, existing Siamese tracking algorithms have been too rigid in their predictions of bounding box tags and lack uncertainty ...
Yihong Zhang, Qin Lin, Huizhi Tang, Yinjian Li   +3 more
doaj   +1 more source

Wide-Area Search Tracking for Siamese Region Proposal Network

IEEE Access, 2020
With the introduction of deep learning technology into the field of visual tracking, the accuracy and robustness of visual tracking have greatly improved.
Hongwei Zhang, Xiaoxia Li, Bin Zhu, Qi Ma   +3 more
doaj   +1 more source

An Improved Siamese Network for Face Sketch Recognition [PDF]

2019 International Conference on Machine Learning and Cybernetics (ICMLC), 2019
Face sketch recognition identifies the face photo from a large face sketch dataset. Some traditional methods are typically used to reduce the modality gap between face photos and sketches and gain excellent recognition rate based on a pseudo image which is synthesized using the corresponded face photo.
Liang Fan, Han Liu 0002, Yuxuan Hou
openaire   +1 more source

Efficient Visual Tracking With Stacked Channel-Spatial Attention Learning

IEEE Access, 2020
Template based learning, particularly Siamese networks, has recently become popular due to balancing accuracy and speed. However, preserving tracker robustness against challenging scenarios with real-time speed is a primary concern for visual object ...
Md. Maklachur Rahman, Mustansar Fiaz, Soon Ki Jung   +2 more
doaj   +1 more source

Dense Siamese Network for Dense Unsupervised Learning

, 2022
ECCV2022 camera ...
Wenwei Zhang, Jiangmiao Pang, Kai Chen 0026, Chen Change Loy   +3 more
openaire   +2 more sources

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

Smart Contract Vulnerability Detection Model Based on Siamese Network (SCVSN): A Case Study of Reentrancy Vulnerability

Energies, 2022
Blockchain technology is currently evolving rapidly, and smart contracts are the hallmark of the second generation of blockchains. Currently, smart contracts are gradually being used in power system networks to build a decentralized energy system ...
Ran Guo, Weijie Chen, Lejun Zhang, Guopeng Wang, Huiling Chen   +4 more
doaj   +1 more source

Generalisation Gap of Keyword Spotters in a Cross-Speaker Low-Resource Scenario

Sensors, 2021
Models for keyword spotting in continuous recordings can significantly improve the experience of navigating vast libraries of audio recordings. In this paper, we describe the development of such a keyword spotting system detecting regions of interest in ...
Łukasz Lepak, Kacper Radzikowski, Robert Nowak, Karol J. Piczak   +3 more
doaj   +1 more source

Semi-supervised Learning Using Siamese Networks [PDF]

, 2019
added link of GitHub ...
Attaullah Sahito, Eibe Frank, Bernhard Pfahringer   +2 more
openaire   +2 more sources

Semantic and context features integration for robust object tracking

IET Image Processing, 2022
Siamese network‐based object tracking learns features of a target object marked in the first frame and that of the object in subsequent frames simultaneously and then measures similarity between two features to recognize and locate the object.
Jinzhen Yao, Jianlin Zhang, Zhixing Wang, Linsong Shao   +3 more
doaj   +1 more source