Domain Adaptation

Domain Adaptation Settings

• Image Classification
• Image Regression
• Semantic Segmentation
• Keypoint Detection
• Re-Identification
• Partial Domain Adaptation
• Openset Domain Adaptation
• Multi Source Domain Adaptation

Domain Adaptation Methods

• Statistics Matching
  • DAN: Deep Adaptation Network
  • JAN: Joint Adaptation Network
• Domain Adversarial Learning
  • Domain Adversarial Training in Close-set DA
    • DANN: Domain Adversarial Neural Network
    • CDAN: Conditional Domain Adversarial Network
    • ADDA: Adversarial Discriminative Domain Adaptation
    • BSP: Batch Spectral Penalization
  • Domain Adversarial Training in Open-set DA
    • OSBP: Open Set Domain Adaptation by Backpropagation
  • Domain Adversarial Training in Partial DA
    • PADA: Partial Adversarial Domain Adaptation
    • IWAN: Importance Weighted Adversarial Nets
  • Domain Adversarial Training in Segmentation
    • ADVENT: Adversarial Entropy Minimization
• Hypothesis Adversarial Learning
  • MCD: Maximum Classifier Discrepancy
  • MDD: Margin Disparity Discrepancy
    • MDD for Classification
    • MDD for Regression
  • RegDA: Regressive Domain Adaptation
• Domain Translation
  • CycleGAN: Cycle-Consistent Adversarial Networks
    • Discriminator
    • Generator
    • GAN Loss
    • Translation
    • Util
  • CyCADA: Cycle-Consistent Adversarial Domain Adaptation
  • SPGAN: Similarity Preserving Generative Adversarial Network
    • Siamese Network
    • Contrastive Loss
  • FDA: Fourier Domain Adaptation
• Self Training Methods
  • Self Ensemble
  • MCC: Minimum Class Confusion
  • MMT: Mutual Mean-Teaching
• Other Methods
  • AFN: Adaptive Feature Norm
• Common Adaptation Modules
  • Domain Discriminator
  • GRL
  • Kernels
  • Entropy