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목록fast r-cnn (1)
Stand on the shoulders of giants

Main IdeasFast R-CNN (Fast Region-based Convolutional Network method for object detection)mAP SOTA 달성 (R-CNN, SPPnet보다 우수한 성능)truncated svd를 사용하여 학습 시간은 줄이면서(Speed up 하면서) mAP를 거의 유지했다.RoI (max) pooling layerhxw ROI window를H x W grid가 되도록 h/H x w/W 크기의 sub windows로 나눈다.pooling을 각 feature map별로 진행spatial pytamid pooling layer의 원리(SPPnet)를 따르고 있다. Initializing from pre-trained networksFast R-CNN을 ..
Paper reviews
2024. 5. 6. 09:28