research
∙
04/22/2023
Weight-based Mask for Domain Adaptation
In computer vision, unsupervised domain adaptation (UDA) is an approach ...
share
research
∙
08/16/2022
Object Discovery via Contrastive Learning for Weakly Supervised Object Detection
Weakly Supervised Object Detection (WSOD) is a task that detects objects...
research
∙
04/20/2022
DAM-GAN : Image Inpainting using Dynamic Attention Map based on Fake Texture Detection
Deep neural advancements have recently brought remarkable image synthesi...
research
∙
09/02/2021
FA-GAN: Feature-Aware GAN for Text to Image Synthesis
Text-to-image synthesis aims to generate a photo-realistic image from a ...
research
∙
08/25/2021
Localization Uncertainty-Based Attention for Object Detection
Object detection has been applied in a wide variety of real world scenar...
research
∙
07/06/2021
UACANet: Uncertainty Augmented Context Attention for Polyp Semgnetaion
We propose Uncertainty Augmented Context Attention network (UACANet) for...
research
∙
06/08/2021
SpaceMeshLab: Spatial Context Memoization and Meshgrid Atrous Convolution Consensus for Semantic Segmentation
Semantic segmentation networks adopt transfer learning from image classi...
research
∙
09/05/2019
Detector With Focus: Normalizing Gradient In Image Pyramid
An image pyramid can extend many object detection algorithms to solve de...
research
∙
08/17/2019
Attentional Feature-Pair Relation Networks for Accurate Face Recognition
Human face recognition is one of the most important research areas in bi...
research
∙
11/15/2018
Pairwise Relational Networks using Local Appearance Features for Face Recognition
We propose a new face recognition method, called a pairwise relational n...
research
∙
11/13/2018
BAN: Focusing on Boundary Context for Object Detection
Visual context is one of the important clue for object detection and the...
research
∙
08/15/2018
Pairwise Relational Networks for Face Recognition
Existing face recognition using deep neural networks is difficult to kno...
research
∙
08/15/2018
