Работы, на которые ссылается эта работа
Работ: 125
Работа: A Large-Scale Benchmark on Geological Fault Delineation Models: Domain Shift, Training Dynamics, Generalizability, Evaluation, and Inferential Behavior
Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren +1
Статья2016Цитирований: 61ABIU-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger, Philipp Fischer, Thomas Brox
Глава2015Цитирований: 32ABIMobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler, Andrew Howard, Menglong Zhu +2
Препринт2018Цитирований: 17ABIImageNet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher +3
Статья2009Цитирований: 12ABIFully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, Trevor Darrell
Препринт2015Цитирований: 12ABIA survey on Image Data Augmentation for Deep Learning
Connor Shorten, Taghi M. Khoshgoftaar
Статья2019Цитирований: 10ABInnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
Fabian Isensee, Paul F. Jaeger, Simon A. A. Kohl +2
Статья2020Цитирований: 8ABIDomain-Adversarial Training of Neural Networks
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan +5
Глава2017Цитирований: 7ABIUNet++: A Nested U-Net Architecture for Medical Image Segmentation
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh +1
Статья2018Цитирований: 4ABIOvercoming catastrophic forgetting in neural networks
James Kirkpatrick, Razvan Pascanu, Neil C. Rabinowitz +11
Статья2017Цитирований: 3ABIGeneralised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations
Carole H. Sudre, Wenqi Li, Tom Vercauteren +2
Статья2017Цитирований: 2ABIEncoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen, Yukun Zhu, George Papandreou +2
Препринт2018Цитирований: 2ABITemporal Attentive Alignment for Large-Scale Video Domain Adaptation
Min-Hung Chen, Zsolt Kira, Ghassan AlRegib +3
Статья2019Цитирований: 2ABIAutomatic geologic fault identification from seismic data using 2.5D channel attention U-net
Lei Lin, Zhi Zhong, Zhongxian Cai +2
Статья2022Цитирований: 2ABIStructural Augmentation in Seismic Data for Fault Prediction
Shenghou Wang, Xu Si, Zhongxian Cai +1
Статья2022Цитирований: 2ABISeismic Fault SAM: Adapting SAM with Lightweight Modules and 2.5D Strategy for Fault Detection
Ran Chen, Zeren Zhang, Jinwen Ma
Статья2024Цитирований: 2ABI