Signal Learning Lab

Efficient and Robust Learning with Multiple Foundation Models for various deep learning tasks.

• (New) Multiple Foundation Models for Source-Free Domain Adaptation
  Arxiv Coming Soon

• (New) SAM marries CLIP for Human Parsing
  https://arxiv.org/abs/2503.22237

Test-Time Adaptation (TTA) adapts a pre-trained model to new data distributions during inference, without accessing the original training data.

• (New) D-TPT (Test-time Prompt Tuning) for Vision-Language Models
  https://arxiv.org/abs/2510.09473

• (New) When Test-Time Adaptation Meets Self-Supervised Models
  https://arxiv.org/abs/2506.23529

• [ICML'25] Ranked EM-based Continual Test-Time Adaptation
  https://arxiv.org/abs/2505.16441

Semantic Segmentation is the task of clustering parts of an image together which belong to the same object class.

• Single Source to Multi-Target Domain Adaptation for Semantic Segmentation
  https://arxiv.org/abs/2403.11582

• [NeurIPS'23] Switching Teachers for Semi-supervised Semantic Segmentation
  https://arxiv.org/abs/2310.18640

• [CVPR'22] Label to Label driven Human Parsing
  https://arxiv.org/abs/2111.14173

Continual Learning is a model learning a large number of tasks sequentially without forgetting knowledge obtained from the preceding tasks.

• [WACV'25] Semantic Prompting for Continual Learning
  https://arxiv.org/abs/2403.11537

• [ACCV'24] Selective Regularization for Class Incremental Learning
  https://arxiv.org/abs/2305.05175

Domain Adaption aims to adapt models from a labeled source domain to a different but target domain without labels.

• [CVPR'24] Sensor Adaptation for RGB to Thermography
  https://arxiv.org/abs/2403.09359

• [ECCV'22] Entropy Maximization Point-based Domain Adaptation
  https://arxiv.org/abs/2111.13353

• [CVPR'21] Fixed Ratio-based MixUp for Domain Adaptation https://arxiv.org/abs/2011.09230 

Knowledge Distillation extracts pivtoal knowledge from a teacher network to guide the learning of a student network.

• [ICCV'23] Online Selective Multiple Teachers for Distillation
  https://arxiv.org/abs/2206.01186

• [CVPR'23] Knowledge Distillation for 3D Object Detection
  https://arxiv.org/abs/2205.15531

• [ICCV'21] Mutiple Teacher-based Knowledge Distillation
  https://arxiv.org/abs/2009.08825