Beyond Accuracy: An Empirical Study on Unit Testing in Open-source Deep Learning Projects

no code implementations • 26 Feb 2024 • Han Wang, Sijia Yu, Chunyang Chen, Burak Turhan, Xiaodong Zhu

Deep Learning (DL) models have rapidly advanced, focusing on achieving high performance through testing model accuracy and robustness.

LaSOT: A High-quality Large-scale Single Object Tracking Benchmark

1 code implementation • 8 Sep 2020 • Heng Fan, Hexin Bai, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Harshit, Mingzhen Huang, Juehuan Liu, Yong Xu, Chunyuan Liao, Lin Yuan, Haibin Ling

The average video length of LaSOT is around 2, 500 frames, where each video contains various challenge factors that exist in real world video footage, such as the targets disappearing and re-appearing.

Object Tracking Visual Tracking +1

Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection

1 code implementation • 18 Jan 2019 • Fan Yang, Lei Zhang, Sijia Yu, Danil Prokhorov, Xue Mei, Haibin Ling

To demonstrate the superiority and generality of the proposed method, we evaluate the proposed method on five crack datasets and compare it with state-of-the-art crack detection, edge detection, semantic segmentation methods.

Edge Detection Semantic Segmentation

LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking

1 code implementation • CVPR 2019 • Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling

In this paper, we present LaSOT, a high-quality benchmark for Large-scale Single Object Tracking.

Object Tracking Vocal Bursts Intensity Prediction