AViD Dataset: Anonymized Videos from Diverse Countries
Authors: AJ Piergiovanni, Michael Ryoo
NeurIPS 2020 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We experimentally illustrate that models trained with such biased datasets do not transfer perfectly to action videos from the other countries, and show that AVi D addresses such problem. We also confirm that the new AVi D dataset could serve as a good dataset for pretraining the models, performing comparably or better than prior datasets. We conducted a series of experiments with the new AVi D dataset. |
| Researcher Affiliation | Academia | AJ Piergiovanni Indiana University ajpiergi@indiana.edu Michael S. Ryoo Stony Brook University mryoo@cs.stonybrook.edu |
| Pseudocode | No | The paper does not contain any pseudocode or algorithm blocks. |
| Open Source Code | Yes | The dataset is available https://github.com/piergiaj/AVi D. The models... were trained for 256 epochs... (code provided in supplementary materials). |
| Open Datasets | Yes | We introduce a new public video dataset for action recognition: Anonymized Videos from Diverse countries (AVi D). The dataset is available https://github.com/piergiaj/AVi D. |
| Dataset Splits | No | The paper states: 'We split the dataset into train/test sets by taking 10% of each class as the test videos.' It does not explicitly mention a 'validation' split or provide details for one. |
| Hardware Specification | Yes | We implemented the models in Py Torch and trained them using four Titan V GPUs. |
| Software Dependencies | No | The paper mentions 'Py Torch' but does not specify a version number or other software dependencies with versions. |
| Experiment Setup | Yes | The models... were trained for 256 epochs. The learning rate followed a cosine decay schedule with a max of 0.1 and a linear warm-up for the first 2k steps. Each GPU used a base batch size of 8 clips... The base clip size was 32 frames at 224 224 image resolution. |