Results 21 to 30 of about 32,458 (271)
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 +2 more
core +2 more sources
Siamese tracking network with multi-attention mechanism
Neural Processing Letters, 2023 Abstract Object trackers based on Siamese networks view tracking as a similarity-matching process. However, the correlation operation operates as a local linear matching process, limiting the tracker's ability to capture the intricate nonlinear relationship between the template and search region branches.
Yuzhuo Xu +4 more
openaire +1 more source
SpeakerNet for Cross-lingual Text-Independent Speaker Verification
Archives of Acoustics, 2020 Biometrics provide an alternative to passwords and pins for authentication. The emergence of machine learning algorithms provides an easy and economical solution to authentication problems.
Hafsa HABIB +4 more
doaj +1 more source
PLoS ONE, 2022 Oracle bone inscriptions (OBIs) are ancient Chinese scripts originated in the Shang Dynasty of China, and now less than half of the existing OBIs are well deciphered.
Mengru Wang +6 more
doaj +1 more source
Inverted Residual Siamese Visual Tracking With Feature Crossing Network
IEEE Access, 2021 Siamese networks based visual tracking has recently drawn great attention due to their superior representation and tracking accuracy. However, the backbone networks and prediction networks still cannot fully take advantage of features from modern deep ...
Feng Zhang +3 more
doaj +1 more source
Semi-supervised Learning Using Siamese Networks [PDF]
, 2019 added link of GitHub ...
Sahito, Attaullah +2 more
openaire +2 more sources
Re-Identification With Consistent Attentive Siamese Networks [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 10 pages, 8 figures, 3 tables, to appear in CVPR ...
Zheng, Meng +3 more
openaire +2 more sources
KD-Fixmatch: Knowledge Distillation Siamese Neural Networks
2023 IEEE International Conference on Image Processing (ICIP), 2023 Semi-supervised learning (SSL) has become a crucial approach in deep learning as a way to address the challenge of limited labeled data. The success of deep neural networks heavily relies on the availability of large-scale high-quality labeled data. However, the process of data labeling is time-consuming and unscalable, leading to shortages in labeled ...
Wang, Chien-Chih +4 more
openaire +2 more sources
Siamese meta-learning network for social disputes based on multi-head attention [PDF]
PeerJ Computer ScienceFew-shot learning has been widely used in scenarios where labeled data is scarce, where meta-learning based few-shot classification is widely used, such as the Siamese network.
Jing Wang +4 more
doaj +2 more sources
Few Shot Learning in Histopathological Images:Reducing the Need of Labeled Data on Biological Datasets [PDF]
, 2019 Although deep learning pathology diagnostic algorithms are proving comparable results with human experts in a wide variety of tasks, they still require a huge amount of well annotated data for training.
Belar, Oihana +7 more
core +1 more source