Dimensions overall score 7.0

• InCoM-Net achieves state-of-the-art performance on HICO-DET and V-COCO benchmarksresult 95%
• Existing HOI detection methods fail to fully capitalize on diverse contextual cues across the entire scenelimitation 85%
• InCoM-Net integrates VLM-derived semantic knowledge with instance-specific detector featuresmethod 90%
• Instance-centric Context Refinement (ICR) extracts intra-instance, inter-instance, and global contextual cuestechnical 90%
• Progressive Context Aggregation (ProCA) iteratively fuses multi-context features with instance-level detector featurestechnical 90%
• Recent approaches leveraging Vision-Language Models have significantly improved HOI detection performanceresult 85%
• InCoM-Net enables deeper interaction reasoning by modeling relationships within instances, across instances, and with surrounding scene contextmethod 80%

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