Alert button

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

Inverting Generative Adversarial Renderer for Face Reconstruction

May 08, 2021
Jingtan Piao, Keqiang Sun, KwanYee Lin, Quan Wang, Hongsheng Li

Figure 1 for Inverting Generative Adversarial Renderer for Face Reconstruction
Figure 2 for Inverting Generative Adversarial Renderer for Face Reconstruction
Figure 3 for Inverting Generative Adversarial Renderer for Face Reconstruction
Figure 4 for Inverting Generative Adversarial Renderer for Face Reconstruction
Viaarxiv icon

Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data

Sep 20, 2019
Chunwei Ma, Zhanghexuan Ji, Mingchen Gao

Figure 1 for Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data
Figure 2 for Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data
Figure 3 for Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data
Figure 4 for Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data
Viaarxiv icon

Transformer Meets Convolution: A Bilateral Awareness Net-work for Semantic Segmentation of Very Fine Resolution Ur-ban Scene Images

Jun 23, 2021
Libo Wang, Rui Li, Dongzhi Wang, Chenxi Duan, Teng Wang, Xiaoliang Meng

Figure 1 for Transformer Meets Convolution: A Bilateral Awareness Net-work for Semantic Segmentation of Very Fine Resolution Ur-ban Scene Images
Figure 2 for Transformer Meets Convolution: A Bilateral Awareness Net-work for Semantic Segmentation of Very Fine Resolution Ur-ban Scene Images
Figure 3 for Transformer Meets Convolution: A Bilateral Awareness Net-work for Semantic Segmentation of Very Fine Resolution Ur-ban Scene Images
Figure 4 for Transformer Meets Convolution: A Bilateral Awareness Net-work for Semantic Segmentation of Very Fine Resolution Ur-ban Scene Images
Viaarxiv icon

Self-Guided Instance-Aware Network for Depth Completion and Enhancement

May 25, 2021
Zhongzhen Luo, Fengjia Zhang, Guoyi Fu, Jiajie Xu

Figure 1 for Self-Guided Instance-Aware Network for Depth Completion and Enhancement
Figure 2 for Self-Guided Instance-Aware Network for Depth Completion and Enhancement
Figure 3 for Self-Guided Instance-Aware Network for Depth Completion and Enhancement
Figure 4 for Self-Guided Instance-Aware Network for Depth Completion and Enhancement
Viaarxiv icon

Learning Fuzzy Clustering for SPECT/CT Segmentation via Convolutional Neural Networks

Apr 17, 2021
Junyu Chen, Ye Li, Licia P. Luna, Hyun Woo Chung, Steven P. Rowe, Yong Du, Lilja B. Solnes, Eric C. Frey

Figure 1 for Learning Fuzzy Clustering for SPECT/CT Segmentation via Convolutional Neural Networks
Figure 2 for Learning Fuzzy Clustering for SPECT/CT Segmentation via Convolutional Neural Networks
Figure 3 for Learning Fuzzy Clustering for SPECT/CT Segmentation via Convolutional Neural Networks
Figure 4 for Learning Fuzzy Clustering for SPECT/CT Segmentation via Convolutional Neural Networks
Viaarxiv icon

Automating Defense Against Adversarial Attacks: Discovery of Vulnerabilities and Application of Multi-INT Imagery to Protect Deployed Models

Mar 29, 2021
Josh Kalin, David Noever, Matthew Ciolino, Dominick Hambrick, Gerry Dozier

Figure 1 for Automating Defense Against Adversarial Attacks: Discovery of Vulnerabilities and Application of Multi-INT Imagery to Protect Deployed Models
Figure 2 for Automating Defense Against Adversarial Attacks: Discovery of Vulnerabilities and Application of Multi-INT Imagery to Protect Deployed Models
Figure 3 for Automating Defense Against Adversarial Attacks: Discovery of Vulnerabilities and Application of Multi-INT Imagery to Protect Deployed Models
Figure 4 for Automating Defense Against Adversarial Attacks: Discovery of Vulnerabilities and Application of Multi-INT Imagery to Protect Deployed Models
Viaarxiv icon

Learning from Pseudo Lesion: A Self-supervised Framework for COVID-19 Diagnosis

Jun 23, 2021
Zhongliang Li, Zhihao Jin, Xuechen Li, Linlin Shen

Figure 1 for Learning from Pseudo Lesion: A Self-supervised Framework for COVID-19 Diagnosis
Figure 2 for Learning from Pseudo Lesion: A Self-supervised Framework for COVID-19 Diagnosis
Figure 3 for Learning from Pseudo Lesion: A Self-supervised Framework for COVID-19 Diagnosis
Figure 4 for Learning from Pseudo Lesion: A Self-supervised Framework for COVID-19 Diagnosis
Viaarxiv icon

Contrast R-CNN for Continual Learning in Object Detection

Jul 11, 2021
Kai Zheng, Cen Chen

Figure 1 for Contrast R-CNN for Continual Learning in Object Detection
Figure 2 for Contrast R-CNN for Continual Learning in Object Detection
Figure 3 for Contrast R-CNN for Continual Learning in Object Detection
Figure 4 for Contrast R-CNN for Continual Learning in Object Detection
Viaarxiv icon

Divide-and-Conquer Adversarial Learning for High-Resolution Image and Video Enhancement

Oct 23, 2019
Zhiwu Huang, Danda Pani Paudel, Guanju Li, Jiqing Wu, Radu Timofte, Luc Van Gool

Figure 1 for Divide-and-Conquer Adversarial Learning for High-Resolution Image and Video Enhancement
Figure 2 for Divide-and-Conquer Adversarial Learning for High-Resolution Image and Video Enhancement
Figure 3 for Divide-and-Conquer Adversarial Learning for High-Resolution Image and Video Enhancement
Figure 4 for Divide-and-Conquer Adversarial Learning for High-Resolution Image and Video Enhancement
Viaarxiv icon

Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition

Aug 11, 2019
Haoqian Wang, Zhiwei Xu, Jun Xu, Wangpeng An, Lei Zhang, Qionghai Dai

Figure 1 for Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition
Figure 2 for Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition
Figure 3 for Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition
Figure 4 for Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition
Viaarxiv icon