Boosting Generative Zero-Shot Learning by Synthesizing Diverse Features with Attribute Augmentation
Authors: Xiaojie Zhao, Yuming Shen, Shidong Wang, Haofeng Zhang3454-3462
AAAI 2022 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We evaluate the proposed model on four benchmark datasets, observing significant performance improvement against the state-of-the-art. |
| Researcher Affiliation | Academia | 1School of Computer Science and Engineering, Nanjing University of Science and Technology, China 2Department of Engineering Science, University of Oxford, UK 3School of Engineering, Newcastle University, UK zhaoxj@njust.edu.cn, yuming.shen@eng.ox.ac.uk, shidong.wang@newcastle.ac.uk, zhanghf@njust.edu.cn |
| Pseudocode | No | The paper does not contain any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any concrete access to source code for the methodology described. |
| Open Datasets | Yes | We evaluated our method on four data sets, i.e., AWA1 (Lampert, Nickisch, and Harmeling 2009)... CUB (Welinder et al. 2010)... SUN (Patterson et al. 2014)... Attribute Pascal and Yahoo are abbreviated as a PY (Farhadi et al. 2009). |
| Dataset Splits | No | The paper states 'Suppose we have S seen classes for training, and U unseen classes that are only used for test,' but does not provide specific train/validation/test dataset splits or their percentages for reproducibility. |
| Hardware Specification | Yes | We only have one GTX 1080ti GPU |
| Software Dependencies | No | We implement the proposed method on Py Toch. However, specific version numbers for PyTorch or other software dependencies are not provided. |
| Experiment Setup | Yes | For RFF-GZSL, we change the batch size. We set batch size to 128 on all four data sets... For CE-GZSL... We also set batch size to 128... In order to prevent over fitting of the generation network, we add L2 regularization to the optimizer of the generation network. |