TridentNet

2000년 도입 · 논문 3편에서 사용

TridentNet is an object detection architecture that aims to generate scale-specific feature maps with a uniform representational power. A parallel multi-branch architecture is constructed in which each branch shares the same transformation parameters but with different receptive fields. A scale-aware training scheme is used to specialize each branch by sampling object instances of proper scales for training.

출처: Scale-Aware Trident Networks for Object Detection

소개 논문: Scale-Aware Trident Networks for Object Detection