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Learning Object-Centric Representation via Reverse Hierarchy Guidance
Object-Centric Learning (OCL) seeks to enable Neural Networks to identify individual objects in visual scenes, which is crucial for interpretable visual comprehension and reasoning.
Semantic Segmentation on VSPW Dataset through Aggregation of Transformer Models
Semantic segmentation is an important task in computer vision, from which some important usage scenarios are derived, such as autonomous driving, scene parsing, etc.
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