TC-ADA: One-Shot Active Domain Adaptation for Semantic Segmentation

arXiv:2609.33432 · cs.CV, cs.RO · Submitted 2026-09-27 · Read on arXiv

cs.CV, cs.RO

Submitted: 2026-09-27

Updated: 2026-09-27

Code: https://github.com/ywher/TC-ADA

Terminology

• Adaptation — 60× in this paper · explained in 1 episode
• Domain Adaptation — 20× in this paper · explained in 5 episodes
• Active Learning — 9× in this paper · explained in 6 episodes
• Distillation — 9× in this paper · explained in 2 episodes
• Accuracy — 8× in this paper · explained in 1 episode
• Ablation — 6× in this paper · explained in 1 episode
• Consistency — 6× in this paper · explained in 3 episodes
• Foundation Model — 6× in this paper · explained in 3 episodes
• Domain Shift — 5× in this paper · explained in 4 episodes
• Embeddings — 4× in this paper · explained in 2 episodes
• Foundation Models — 4× in this paper · explained in 7 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Redundancy — 4× in this paper · explained in 2 episodes
• Knowledge Distillation — 3× in this paper · explained in 11 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Dynamic Weighting — 2× in this paper · explained in 3 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Acquisition Function — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Exponential Moving Average (EMA) — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• PID Controller — 1× in this paper · explained in 2 episodes
• Parameter-Efficient Fine-Tuning — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• DINOv3
• Beyond Random Sampling: Distribution-Aware Alignment for Semi-Supervised Medical Image Segmentation

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