AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses
Authors: Zixuan Xu, Banghuai Li, Ye Yuan, Miao Geng3092-3100
AAAI 2021 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Overall, our proposed approach, named Anchor Face, obtains stateof-the-art results with extremely efficient inference speed on four challenging benchmarks, i.e. AFLW, 300W, Menpo, and WFLW dataset. |
| Researcher Affiliation | Collaboration | Zixuan Xu,1* Banghuai Li,2* Ye Yuan2 and Miao Geng3 1 Peking University 2 Megvii Research 3 Beihang University zixuanxu@pku.edu.cn, {libanghuai,yuanye}@megvii.com, geng m@buaa.edu.cn |
| Pseudocode | No | The paper does not contain structured pseudocode or algorithm blocks. |
| Open Source Code | No | Code will be available soon. |
| Open Datasets | Yes | The experiments are evaluated on four challenging datasets, i.e. AFLW (K ostinger et al. 2011), 300W (Sagonas et al. 2013), Menpo (Deng et al. 2019; Zafeiriou et al. 2017), and WFLW (Wu et al. 2018). |
| Dataset Splits | No | The paper mentions training on datasets and evaluating on test sets, but does not explicitly provide specific training/validation/test dataset splits (e.g., percentages or sample counts) needed to reproduce the experiment's data partitioning. |
| Hardware Specification | Yes | The computational speed of 45 FPS is calculated on one Nvidia Titan Xp GPU with batchsize 1. |
| Software Dependencies | No | The paper mentions using Adam optimizer and specific network architectures like Shuffle Net-V2 and HRNet-18, but does not provide specific version numbers for software dependencies like programming languages or libraries. |
| Experiment Setup | Yes | We apply the Adam optimizer with the weight decay of 1 10 5 and train the network for 50 epochs in total. The learning rate is set to 1 10 3 and divided by ten at 20-th, 30-th, 40-th epoch. β = 0.05 and λ = 0.5 are applied to all models across four benchmarks. |