3 papers
cs.CV2024
ContextHOI: Spatial Context Learning for Human-Object Interaction Detection
Mingda Jia, Liming Zhao, Ge Li +1
Spatial contexts, such as the backgrounds and surroundings, are considered critical in Human-Object Interaction (HOI) recognition, especially when the instance-centric foreground i…
cs.CV2024
Orchestrating the Symphony of Prompt Distribution Learning for Human-Object Interaction Detection
Mingda Jia, Liming Zhao, Ge Li +1
Human-object interaction (HOI) detectors with popular query-transformer architecture have achieved promising performance. However, accurately identifying uncommon visual patterns a…
cs.CV2024
CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset
Akshatha Arodi, Margaux Luck, Jean-Luc Bedwani +5
Machine learning models are increasingly being deployed in real-world contexts. However, systematic studies on their transferability to specific and critical applications are under…