Search Results for author:
Found 4 papers, 0 papers with code
Scene Depth Estimation from Traditional Oriental Landscape Paintings
To address the problem of scene depth estimation from oriental landscape painting images, we propose a novel framework that consists of two-step Image-to-Image translation method with CLIP-based image matching at the front end to predict the real scene image that best matches with the given oriental landscape painting image.
Excision And Recovery: Visual Defect Obfuscation Based Self-Supervised Anomaly Detection Strategy
To enhance the UAD performance, reconstruction-by-inpainting based methods have recently been investigated, especially on the masking strategy of suspected defective regions.
Ranked #66 on
Anomaly Detection
on MVTec AD
Self-Supervised Anomaly Detection
Supervised Anomaly Detection
+1
Neural Network Training Strategy to Enhance Anomaly Detection Performance: A Perspective on Reconstruction Loss Amplification
In contrast, we note that containing of generalization ability in reconstruction can also be obtained simply from steep-shaped loss landscape.
Face Photo-Sketch Recognition Using Bidirectional Collaborative Synthesis Network
The problem of photo-sketch matching is challenging because 1) there is large modality gap between photo and sketch, and 2) the number of paired training samples is insufficient to train deep learning based networks.
