Abstract: Scale variation of objects remains one of the crucial challenges in object detection. Currently, conventional dense detectors with fixed receptive fields and label weights are not conducive ...

Abstract: Object detection is essential for autonomous driving, as it provides crucial perception of surrounding environments by locating and classifying semantic targets to support trajectory ...

This paper presents a multi-stage framework that integrates architectural design logic with empirical testing across representational scales. This exploratory, practice-driven research paradigm seeks ...

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