361 citations · 392 across the 4 of their papers we have counts for
4 papers
SFPN: Synthetic FPN for Object Detection
Yu-Ming Zhang, Jun-Wei Hsieh, Chun-Chieh Lee +1
FPN (Feature Pyramid Network) has become a basic component of most SoTA one stage object detectors. Many previous studies have repeatedly proved that FPN can caputre better multi-s…
Learnable Discrete Wavelet Pooling (LDW-Pooling) For Convolutional Networks
Bor-Shiun Wang, Jun-Wei Hsieh, Ming-Ching Chang +3
Pooling is a simple but essential layer in modern deep CNN architectures for feature aggregation and extraction. Typical CNN design focuses on the conv layers and activation functi…
CSL-YOLO: A New Lightweight Object Detection System for Edge Computing
Yu-Ming Zhang, Chun-Chieh Lee, Jun-Wei Hsieh +1
The development of lightweight object detectors is essential due to the limited computation resources. To reduce the computation cost, how to generate redundant features plays a si…
CSPNet: A New Backbone that can Enhance Learning Capability of CNN
Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh +3
Neural networks have enabled state-of-the-art approaches to achieve incredible results on computer vision tasks such as object detection. However, such success greatly relies on co…