4 papers · 1 filter
Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination
Qi Bi, Jingjun Yi, Haolan Zhan +2
Fine-grained domain generalization (FGDG) aims to learn a fine-grained representation that can be well generalized to unseen target domains when only trained on the source domain d…
DGFamba: Learning Flow Factorized State Space for Visual Domain Generalization
Qi Bi, Jingjun Yi, Hao Zheng +4
Domain generalization aims to learn a representation from the source domain, which can be generalized to arbitrary unseen target domains. A fundamental challenge for visual domain…
GOOD: Towards Domain Generalized Orientated Object Detection
Qi Bi, Beichen Zhou, Jingjun Yi +3
Oriented object detection has been rapidly developed in the past few years, but most of these methods assume the training and testing images are under the same statistical distribu…
Learning Spectral-Decomposed Tokens for Domain Generalized Semantic Segmentation
Jingjun Yi, Qi Bi, Hao Zheng +5
The rapid development of Vision Foundation Model (VFM) brings inherent out-domain generalization for a variety of down-stream tasks. Among them, domain generalized semantic segment…