ImageNet-CoG is a benchmark for concept generalization. It provides a full evaluation framework for pre-trained visual representations which measure how well they generalize to unseen concepts.
☆26Oct 13, 2021Updated 4 years ago
Alternatives and similar repositories for cog
Users that are interested in cog are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch implementation of the paper "No reason for no supervision: Improving the generalization of supervised models"☆18Mar 7, 2023Updated 3 years ago
- PyTorch code and pretrained weights for the UNIC models.☆45Aug 29, 2024Updated last year
- ☆26Feb 27, 2022Updated 4 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Apr 18, 2024Updated 2 years ago
- PyTorch implementation of Refine and Represent: Region-to-Object Representation Learning.