5 papers
Prototype-Anchored Generalized Manifold Regression for Unknown-Domain Object Detection
Zihao Zhang, Aming Wu, Yang Li +1
In this paper, we study Single-Domain Generalized Object Detection (Single-DGOD), which aims to transfer a detector trained on a single source domain to multiple unseen domains. Ex…
Towards Open Environments and Instructions: General Vision-Language Navigation via Fast-Slow Interactive Reasoning
Yang Li, Aming Wu, Zihao Zhang +1
Vision-Language Navigation (VLN) aims to enable agents to navigate to a target location based on language instructions. Traditional VLN often follows a close-set assumption, i.e.,…
Simulating Distribution Dynamics: Liquid Temporal Feature Evolution for Single-Domain Generalized Object Detection
Zihao Zhang, Yang Li, Aming Wu +1
In this paper, we focus on Single-Domain Generalized Object Detection (Single-DGOD), aiming to transfer a detector trained on one source domain to multiple unknown domains. Existin…
Novel Class Discovery for Point Cloud Segmentation via Joint Learning of Causal Representation and Reasoning
Yang Li, Aming Wu, Zihao Zhang +1
In this paper, we focus on Novel Class Discovery for Point Cloud Segmentation (3D-NCD), aiming to learn a model that can segment unlabeled (novel) 3D classes using only the supervi…
Continual Adaptation: Environment-Conditional Parameter Generation for Object Detection in Dynamic Scenarios
Deng Li, Aming Wu, Yang Li +2
In practice, environments constantly change over time and space, posing significant challenges for object detectors trained based on a closed-set assumption, i.e., training and tes…