A benchmark for concept generalization
Code repository for the ImageNet-CoG Benchmark introduced in the paper “Concept Generalization in Visual Representation Learning” (ICCV 2021). It contains code for reproducing all the experiments reported in the paper, as well as instructions on how to evaluate any custom model on the ImageNet-CoG Benchmark.
@InProceedings{sariyildiz2021conceptgeneralization,
title={Concept Generalization in Visual Representation Learning},
author={Sariyildiz, Mert Bulent and Kalantidis, Yannis and Larlus, Diane and Alahari, Karteek},
booktitle={International Conference on Computer Vision},
year={2021}
}
Contents of the Readme file:
Installation
We developed the benchmark using:
- GCC 7.5.0
- Python 3.7.9
- PyTorch 1.7.1
- Torchvision 0.8.2
- CUDA