Search Results for author:
Found 7 papers, 1 papers with code
Evaluating Decision Optimality of Autonomous Driving via Metamorphic Testing
In this paper, we focus on evaluating the decision-making quality of an ADS and propose the first method for detecting non-optimal decision scenarios (NoDSs), where the ADS does not compute optimal paths for AVs.
A Unified Contrastive Transfer Framework with Propagation Structure for Boosting Low-Resource Rumor Detection
The truth is significantly hampered by massive rumors that spread along with breaking news or popular topics.
A Joint Framework Towards Class-aware and Class-agnostic Alignment for Few-shot Segmentation
Few-shot segmentation (FSS) aims to segment objects of unseen classes given only a few annotated support images.
Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning
Massive false rumors emerging along with breaking news or trending topics severely hinder the truth.
Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks
Rumors are rampant in the era of social media.
Joint Topology-Preserving and Feature-Refinement Network for Curvilinear Structure Segmentation
To the best of our knowledge, this is the first work that jointly addresses topology preserving and feature refinement for CSS.
Cyclone intensity estimate with context-aware cyclegan
Deep learning approaches to cyclone intensity estimationhave recently shown promising results.
