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Papers matching “pre-trained feature extraction” 13

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Leveraging pre-trained Segmentation Networks for Anomaly Segmentation
2021 IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) conference-paper Engineering Industrial Vision Systems and Defect Detection

Oliver Rippel, Dorit Merhof

2

citations
ViT-Enhanced Prompts: Integrating Pre-Trained Knowledge for Robust Continuous Learning
2025 International Conference on Multimedia Retrieval conference-paper Computer Science Domain Adaptation and Few-Shot Learning

Guoqiang Xiao, Michael S. Lew, Song Wu

2

citations
Reference-based monitoring for defect detection in fused filament fabrication using image feature classification
2026 The International Journal of Advanced Manufacturing Technology article Engineering Industrial Vision Systems and Defect Detection Open access

Sebastian Bast, Guido Dartmann, Stephan Didas

0

citations
On Architectures and Training for Raw Waveform Feature Extraction in ASR
2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) conference-paper Computer Science Speech Recognition and Synthesis Open access

Peter Vieting, Wilfried Michel, Ralf Schlüter, Hermann Ney

3

citations
Unified Learnable 2D Convolutional Feature Extraction for ASR
2025 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Peter Vieting, Benedikt Hilmes, Ralf Schlüter, Hermann Ney

0

citations
Anomaly Detection for Automated Visual Inspection: A Review
2023 Technologien für die intelligente Automation book-chapter Engineering Industrial Vision Systems and Defect Detection Open access

Oliver Rippel, Dorit Merhof

8

citations
Transfer Learning-Based Radio Frequency Fingerprint Identification Using ConvMixer Network
2022 Globecom conference-paper Computer Science Wireless Signal Modulation Classification

Yu Wang, Heng Dong, Yang Peng, Yun Lin, Guan Gui, Haris Gacanin

17

citations
Union Embedding and Backbone-Attention boost Zero-Shot Learning Model (UBZSL)
2022 IEEE International Conference on Image Processing, Applications and Systems (IPAS) conference-paper Computer Science Domain Adaptation and Few-Shot Learning

Ziyu Li

0

citations
LHU-Net: a Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Segmentation
2024 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof

1

citations
Reinforcement Learning Based Pushing and Grasping Objects from Ungraspable Poses
2023 Proceedings - IEEE International Conference on Robotics and Automation/Proceedings conference-paper Computer Science Reinforcement Learning in Robotics

Hongzhuo Liang, Cong Lin, Jianzhi Lyu, Pingfa Feng, Jianwei Zhang

25

citations
A Self-Supervised Transformer for Unusable Shared Bike Detection
2025 IEEE International Conference on Intelligent Transportation Systems (ITSC) conference-paper Computer Science Advanced Neural Network Applications Open access

Yin Huang, Yongqi Dong, Youhua Tang, Álvaro García

1

citations
O2A: One-Shot Observational Learning with Action Vectors
2021 Frontiers in Robotics and AI article Computer Science Reinforcement Learning in Robotics Open access

Leo Pauly, Wisdom C. Agboh, David Hogg, Raúl Fuentes

6

citations
Medical Spoken Named Entity Recognition
2024 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Khai Le-Duc, David Thulke, Hung-Phong Tran, Long Vo-Dang, Khai-Nguyen Nguyen, Truong-Son Hy, +1 more

0

citations

13 results