10 citations · 10 across the 3 of their papers we have counts for
5 papers
Dynamic Multi-Scale Loss Optimization for Object Detection
Yihao Luo, Xiang Cao, Juntao Zhang +3
With the continuous improvement of the performance of object detectors via advanced model architectures, imbalance problems in the training process have received more attention. It…
AWCD: An Efficient Point Cloud Processing Approach via Wasserstein Curvature
Yihao Luo, Ailing Yang, Fupeng Sun +1
In this paper, we introduce the adaptive Wasserstein curvature denoising (AWCD), an original processing approach for point cloud data. By collecting curvatures information from Was…
CE-FPN: Enhancing Channel Information for Object Detection
Yihao Luo, Xiang Cao, Juntao Zhang +4
Feature pyramid network (FPN) has been an effective framework to extract multi-scale features in object detection. However, current FPN-based methods mostly suffer from the intrins…
Geometric Characteristics of Wasserstein Metric on SPD(n)
Yihao Luo, Shiqiang Zhang, Yueqi Cao +1
Wasserstein distance, especially among symmetric positive-definite matrices, has broad and deep influences on development of artificial intelligence (AI) and other branches of comp…
Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet
Chuang Zhu, Ke Mei, Ting Peng +4
The automatic and objective medical diagnostic model can be valuable to achieve early cancer detection, and thus reducing the mortality rate. In this paper, we propose a highly eff…