Multi-view clustering (MVC) is a popular technique for improving clustering performance using various data sources.

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Cross-object occlusions remain an important source of failures for current state-of-the-art object detectors [29],which, despite their formidable performance increase inrecent years, still carrythe biases and idiosyncrasies of the data they were trained on [16]: static images from Imagenet and COCOdatasets.

Furthermore, [30, 31] pointed out to conduct CL with reconstruction regularization to achieve robust representations for downstream tasks. RINCE [15] (a short name of Robust InfoNCE) is a variant of InfoNCE contrastive loss that considers noise in false positive sample pairs.