Siamese Network

Siamese networks are a class of neural networks designed to learn a similarity function between pairs of inputs, primarily used for tasks like image comparison, object tracking, and similarity search. Current research focuses on enhancing Siamese network architectures, such as integrating transformers and attention mechanisms, and applying them to diverse domains including medical image analysis, remote sensing, and natural language processing. This approach offers significant advantages in scenarios with limited labeled data or a need for efficient similarity comparisons, impacting fields ranging from automated visual inspection to personalized medicine.

Papers

January 2, 2023

PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis
Hong-Yu Zhou, Chixiang Lu, Chaoqi Chen, Sibei Yang, Yizhou Yu
Self Supervised Learning Self Supervised Medical Image Analysis Siamese Network Supervised Counterpart Pixel Information Unified Visual

December 16, 2022

Semi-Siamese Network for Robust Change Detection Across Different Domains with Applications to 3D Printing
Yushuo Niu, Ethan Chadwick, Anson W. K. Ma, Qian Yang
Financial Application Siamese Network Multi Domain Defect Detection Additive Manufacturing 3D Printing Defect Detection System

December 12, 2022

Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets
Michael Luke Battle, Amir Atapour-Abarghouei, Andrew Stephen McGough
Siamese Network Deep Learning System Skin Cancer Dermoscopic Image Clinical Language Skin Cancer Classification Class Detection

December 2, 2022

SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection
Chao-Peng Chen, Jun-Wei Hsieh, Ping-Yang Chen, Yi-Kuan Hsieh, Bor-Shiun Wang
Deep Learning Model Data Detection Visual Analogue Scale Change Detection Siamese Network ATAC Net Cross Transformer

November 26, 2022

Siamese Object Tracking for Vision-Based UAM Approaching with Pairwise Scale-Channel Attention
Guangze Zheng, Changhong Fu, Junjie Ye, Bowen Li, Geng Lu, Jia Pan
Siamese Network Channel Attention Aerial Manipulator Siamese DETR

November 25, 2022

Ladder Siamese Network: a Method and Insights for Multi-level Self-Supervised Learning
Ryota Yoshihashi, Shuhei Nishimura, Dai Yonebayashi, Yuya Otsuka, Tomohiro Tanaka, Takashi Miyazaki
Self Supervised Learning Practical Method DCU Insight AQ Siamese Network Self Supervised Technique Contrastive Siamese

November 24, 2022

November 21, 2022

Novel transfer learning schemes based on Siamese networks and synthetic data
Dominik Stallmann, Philip Kenneweg, Barbara Hammer
Transfer Learning Synthetic Data Style Transfer Siamese Network Single Cell Calysto Scheme

November 17, 2022

FedSiam-DA: Dual-aggregated Federated Learning via Siamese Network under Non-IID Data
Ming Yang, Yanhan Wang, Xin Wang, Zhenyong Zhang, Xiaoming Wu, Peng Cheng
Contrastive Learning Raw Data Siamese Network Data Heterogeneity Heterogeneous Datasets Federated Contrastive Learning

October 27, 2022

October 20, 2022

MixMask: Revisiting Masking Strategy for Siamese ConvNets
Kirill Vishniakov, Eric Xing, Zhiqiang Shen
Siamese Network Masked Image Modeling Masking Strategy Erase Based Masking Masked Siamese

October 13, 2022

Identification of quantum entanglement with Siamese convolutional neural networks and semi-supervised learning
Jarosław Pawłowski, Mateusz Krawczyk
Semi Supervised Learning Person Identification Siamese Network Quantum Entanglement Qubit System

October 3, 2022

Nonstationary data stream classification with online active learning and siamese neural networks
Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou
Classification Code Active Learning Siamese Network Novel Active Learning Non Stationary Data

September 24, 2022

Spiking SiamFC++: Deep Spiking Neural Network for Object Tracking
Shuiying Xiang, Tao Zhang, Shuqing Jiang, Yanan Han, Yahui Zhang, Chenyang Du, Xingxing Guo, Licun Yu, Yuechun Shi, Yue Hao
Neural Network Spiking Neural Network Siamese Network Deep Spiking Neural Network

September 22, 2022

Capsule Network based Contrastive Learning of Unsupervised Visual Representations
Harsh Panwar, Ioannis Patras
Contrastive Learning Contrastive Loss Siamese Network Capsule Network 3D Capsule Unsupervised Representation Traditional CNNs

September 14, 2022

Point Cloud Registration-Driven Robust Feature Matching for 3D Siamese Object Tracking
Haobo Jiang, Kaihao Lan, Le Hui, Guangyu Li, Jin Xie, Jian Yang
Point Cloud Siamese Network Siamese Tracker

August 31, 2022

Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks
David Oniani, Sonish Sivarajkumar, Yanshan Wang
LeArning Abstract Natural Language Processing Text Classification Siamese Network Clinical Natural Language Processing Clinical Natural Language Processing Task

August 14, 2022

MTCSNN: Multi-task Clinical Siamese Neural Network for Diabetic Retinopathy Severity Prediction
Chao Feng, Jui Po Hung, Aishan Li, Jieping Yang, Xinyu Zhang
Siamese Network Diabetic Retinopathy

Siamese Network

Papers

PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis

Semi-Siamese Network for Robust Change Detection Across Different Domains with Applications to 3D Printing

Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets

SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection

Siamese Object Tracking for Vision-Based UAM Approaching with Pairwise Scale-Channel Attention

Ladder Siamese Network: a Method and Insights for Multi-level Self-Supervised Learning

Self Supervised Clustering of Traffic Scenes using Graph Representations

Improving Siamese Based Trackers with Light or No Training through Multiple Templates and Temporal Network

Novel transfer learning schemes based on Siamese networks and synthetic data

FedSiam-DA: Dual-aggregated Federated Learning via Siamese Network under Non-IID Data

SAN: a robust end-to-end ASR model architecture

A few-shot learning approach with domain adaptation for personalized real-life stress detection in close relationships

MixMask: Revisiting Masking Strategy for Siamese ConvNets

Identification of quantum entanglement with Siamese convolutional neural networks and semi-supervised learning

Nonstationary data stream classification with online active learning and siamese neural networks

Spiking SiamFC++: Deep Spiking Neural Network for Object Tracking

Capsule Network based Contrastive Learning of Unsupervised Visual Representations

Point Cloud Registration-Driven Robust Feature Matching for 3D Siamese Object Tracking

Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks

MTCSNN: Multi-task Clinical Siamese Neural Network for Diabetic Retinopathy Severity Prediction