Vision 22
- [Paper Review] VQ-VAE: Vector Quantised-Variational AutoEncoder
- GANs for Image to Image translation
- GANs for Single Image Super-Resolution
- [Paper Review] StyleGAN
- Generative Adversarial Networks
- Variational Autoencoder(VAE)
- 이미지 분야 Anomaly Detection 딥러닝 모델 비교
- [Paper Review] ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection
- [Paper Review] CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization
- [Paper Review] Towards Total Recall in Industrial Anomaly Detection
- [Paper Review] PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization
- [Paper Review] Sub-Image Anomaly Detection with Deep Pyramid Correspondences
- [Paper Review] Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection
- [Paper Review] DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
- [Paper Review] Fully Convolutional Networks for Semantic Segmentation
- [Paper Review] SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
- [Paper Review] A ConvNet for the 2020s
- [Paper Review] Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
- Inductive Bias
- [Paper Review] An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
- [Paper Review] Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- [Paper Review] Deep Residual Learning for Image Recognition