Visual Analogies of Situation Recognition
Visual Analogies of Situation Recognition (VASR) is a dataset for visual analogical mapping, adapting the classical word-analogy task into the visual domain. It contains 196K object transitions and 385K activity transitions. Experiments demonstrate that state-of-the-art models do well when distractors are chosen randomly (~86%), but struggle with carefully chosen distractors (~53%, compared to 90% human accuracy)
Source: VASR: Visual Analogies of Situation Recognition
Image Source:https://arxiv.org/pdf/2212.04542v1.pdf
Project Website: https://vasr-dataset.github.io/
Variants: VASR
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Visual Reasoning | ViT | VASR: Visual Analogies of Situation … | 2022-12-08 |
| Visual Reasoning | DEiT | VASR: Visual Analogies of Situation … | 2022-12-08 |
| Visual Reasoning | Swin | VASR: Visual Analogies of Situation … | 2022-12-08 |
| Visual Reasoning | ConvNeXt | VASR: Visual Analogies of Situation … | 2022-12-08 |
Recent papers with results on this dataset: