Related references
Note: Only part of the references are listed.Remote Sensing Image Defogging Networks Based on Dual Self-Attention Boost Residual Octave Convolution
Zhiqin Zhu et al.
REMOTE SENSING (2021)
Model-based 3D Hand Reconstruction via Self-Supervised Learning
Yujin Chen et al.
2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021 (2021)
Medical Transformer: Gated Axial-Attention for Medical Image Segmentation
Jeya Maria Jose Valanarasu et al.
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2021, PT I (2021)
Human Memory Update Strategy: A Multi-Layer Template Update Mechanism for Remote Visual Monitoring
Shuai Liu et al.
IEEE TRANSACTIONS ON MULTIMEDIA (2021)
A Novel Fast Single Image Dehazing Algorithm Based on Artificial Multiexposure Image Fusion
Zhiqin Zhu et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2021)
Fuzzy Detection Aided Real-Time and Robust Visual Tracking Under Complex Environments
Shuai Liu et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2021)
CPFNet: Context Pyramid Fusion Network for Medical Image Segmentation
Shuanglang Feng et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
RA-UNet: A Hybrid Deep Attention-Aware Network to Extract Liver and Tumor in CT Scans
Qiangguo Jin et al.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY (2020)
Semantic Cues Enhanced Multimodality Multistream CNN for Action Recognition
Zhigang Tu et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2019)
Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map
Peter Naylor et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)
Action-Stage Emphasized Spatiotemporal VLAD for Video Action Recognition
Zhigang Tu et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2019)
Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl
Juan C. Caicedo et al.
NATURE METHODS (2019)
HIERARCHICAL TRANSFORMERS FOR LONG DOCUMENT CLASSIFICATION
Raghavendra Pappagari et al.
2019 IEEE AUTOMATIC SPEECH RECOGNITION AND UNDERSTANDING WORKSHOP (ASRU 2019) (2019)
Transformer-Based Neural Network for Answer Selection in Question Answering
Taihua Shao et al.
IEEE ACCESS (2019)
Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks
Eli Gibson et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes
Xiaomeng Li et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)
Multi-stream CNN: Learning representations based on human-related regions for action recognition
Zhigang Tu et al.
PATTERN RECOGNITION (2018)
Brain tumor segmentation with Deep Neural Networks
Mohammad Havaei et al.
MEDICAL IMAGE ANALYSIS (2017)
Integrating spatial fuzzy clustering with level set methods for automated medical image segmentation
Bing Nan Li et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2011)
Scale-based fuzzy connected image segmentation: Theory, algorithms, and validation
PK Saha et al.
COMPUTER VISION AND IMAGE UNDERSTANDING (2000)