5 papers · 1 filter
VGGDrive: Empowering Vision-Language Models with Cross-View Geometric Grounding for Autonomous Driving
Jie Wang, Guang Li, Zhijian Huang +4
The significance of cross-view 3D geometric modeling capabilities for autonomous driving is self-evident, yet existing Vision-Language Models (VLMs) inherently lack this capability…
Visual Consensus Prompting for Co-Salient Object Detection
Jie Wang, Nana Yu, Zihao Zhang +1
Existing co-salient object detection (CoSOD) methods generally employ a three-stage architecture (i.e., encoding, consensus extraction & dispersion, and prediction) along with a ty…
Style Evolving along Chain-of-Thought for Unknown-Domain Object Detection
Zihao Zhang, Aming Wu, Yahong Han
Recently, a task of Single-Domain Generalized Object Detection (Single-DGOD) is proposed, aiming to generalize a detector to multiple unknown domains never seen before during train…
Generalizing to Out-of-Sample Degradations via Model Reprogramming
Runhua Jiang, Yahong Han
Existing image restoration models are typically designed for specific tasks and struggle to generalize to out-of-sample degradations not encountered during training. While zero-sho…
Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization
Deng Li, Aming Wu, Yaowei Wang +1
Single-domain generalization aims to learn a model from single source domain data to achieve generalized performance on other unseen target domains. Existing works primarily focus…