This repository is the official implementation of the Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks.
Battle of the Backbones (BoB) compares many popular publicly available pretrained checkpoints, as well as randomly initialized baselines, on a wide variety of downstream tasks including image classification on natural, medical, and satellite images, object detection and segmentation, out-of-distribution generalization, and image retrieval.
For each vision task, please refer to its respective repository for detailed documentation, source code, and further information:
🌟 Image Classification: BoB-Classification
🌟 Object Detection and Segmentation: BoB-Detection
🌟 Out-of-Distribution Image Classification: BoB-OOD-Classification
🌟 Out-of-Distribution Object Detection: BoB-OOD-Detection
🌟 Image Retrieval: BoB-Retrieval