Alert button

"Image": models, code, and papers
Alert button

Photoacoustic digital brain: numerical modelling and image reconstruction via deep learning

Sep 19, 2021
Tengbo Lyu, Jiadong Zhang, Zijian Gao, Changchun Yang, Feng Gao, Fei Gao

Figure 1 for Photoacoustic digital brain: numerical modelling and image reconstruction via deep learning
Figure 2 for Photoacoustic digital brain: numerical modelling and image reconstruction via deep learning
Figure 3 for Photoacoustic digital brain: numerical modelling and image reconstruction via deep learning
Figure 4 for Photoacoustic digital brain: numerical modelling and image reconstruction via deep learning
Viaarxiv icon

Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

Mar 14, 2020
Runfa Chen, Wenbing Huang, Binghui Huang, Fuchun Sun, Bin Fang

Figure 1 for Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
Figure 2 for Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
Figure 3 for Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
Figure 4 for Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
Viaarxiv icon

Deep Tactile Experience: Estimating Tactile Sensor Output from Depth Sensor Data

Oct 17, 2021
Karankumar Patel, Soshi Iba, Nawid Jamali

Figure 1 for Deep Tactile Experience: Estimating Tactile Sensor Output from Depth Sensor Data
Figure 2 for Deep Tactile Experience: Estimating Tactile Sensor Output from Depth Sensor Data
Figure 3 for Deep Tactile Experience: Estimating Tactile Sensor Output from Depth Sensor Data
Figure 4 for Deep Tactile Experience: Estimating Tactile Sensor Output from Depth Sensor Data
Viaarxiv icon

Few-shot Backdoor Defense Using Shapley Estimation

Dec 30, 2021
Jiyang Guan, Zhuozhuo Tu, Ran He, Dacheng Tao

Figure 1 for Few-shot Backdoor Defense Using Shapley Estimation
Figure 2 for Few-shot Backdoor Defense Using Shapley Estimation
Figure 3 for Few-shot Backdoor Defense Using Shapley Estimation
Figure 4 for Few-shot Backdoor Defense Using Shapley Estimation
Viaarxiv icon

Fourth-Order Anisotropic Diffusion for Inpainting and Image Compression

Jun 18, 2020
Ikram Jumakulyyev, Thomas Schultz

Figure 1 for Fourth-Order Anisotropic Diffusion for Inpainting and Image Compression
Figure 2 for Fourth-Order Anisotropic Diffusion for Inpainting and Image Compression
Figure 3 for Fourth-Order Anisotropic Diffusion for Inpainting and Image Compression
Figure 4 for Fourth-Order Anisotropic Diffusion for Inpainting and Image Compression
Viaarxiv icon

Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains

Jul 24, 2020
Carola Figueroa-Flores, Bogdan Raducanu, David Berga, Joost van de Weijer

Figure 1 for Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains
Figure 2 for Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains
Figure 3 for Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains
Figure 4 for Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains
Viaarxiv icon

Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification

Dec 06, 2020
Zhuoning Yuan, Yan Yan, Milan Sonka, Tianbao Yang

Figure 1 for Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification
Figure 2 for Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification
Figure 3 for Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification
Figure 4 for Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification
Viaarxiv icon

A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches

Feb 21, 2021
Chen Li, Xintong Li, Md Rahaman, Xiaoyan Li, Hongzan Sun, Hong Zhang, Yong Zhang, Xiaoqi Li, Jian Wu, Yudong Yao, Marcin Grzegorzek

Figure 1 for A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches
Figure 2 for A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches
Figure 3 for A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches
Figure 4 for A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches
Viaarxiv icon

An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs

Jan 14, 2022
Mehreen Sirshar, Taimur Hassan, Muhammad Usman Akram, Shoab Ahmed Khan

Figure 1 for An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs
Figure 2 for An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs
Figure 3 for An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs
Figure 4 for An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs
Viaarxiv icon

MDCN: Multi-scale Dense Cross Network for Image Super-Resolution

Aug 30, 2020
Juncheng Li, Faming Fang, Jiaqian Li, Kangfu Mei, Guixu Zhang

Figure 1 for MDCN: Multi-scale Dense Cross Network for Image Super-Resolution
Figure 2 for MDCN: Multi-scale Dense Cross Network for Image Super-Resolution
Figure 3 for MDCN: Multi-scale Dense Cross Network for Image Super-Resolution
Figure 4 for MDCN: Multi-scale Dense Cross Network for Image Super-Resolution
Viaarxiv icon