InstanceLoc
[arXiv 2021] Instance Localization for Self-supervised Detection Pretraining.
Main Results
Here we list the results on MSCOCO with the detector of R50-C4 and R50-FPN. Without any multi-crop/auto/random augmentation, our InsLoc outperforms many previous contrastive methods. In order to clearly clarify the improvements brought by InsLoc, the comparison to the corresponding baseline (i.e., MoCo-v2) is as follows:
Mask R-CNN R50-C4 1x:
Methods | Epoch | Box AP | Mask AP | Link |
---|---|---|---|---|
MoCo-v2 | 200 | 38.9 | 34.1 | - |
MoCo-v2 | 800 | 39.3 | 34.3 | - |
InsLoc | 200 | 39.5 | 34.5 | link |
InsLoc | 400 | 39.8 | 34.7 | link |
Mask R-CNN R50-C4 2x:
Methods | Epoch | Box AP | Mask AP | Link |
---|---|---|---|---|
MoCo-v2 | 200 | 40.7 | 35.6 | - |
MoCo-v2 | 800 | 41.2 | 35.8 | - |
InsLoc | 200 | 41.4 | 35.9 | link |
InsLoc | 400 | 41.8 | 36.3 | link |
Mask R-CNN R50-FPN 1x:
Methods | Epoch | Box AP | Mask AP | Link |
---|---|---|---|---|
MoCo-v2 | 200 | 39.8 | 36.1 | - |
MoCo-v2 | 800 | 40.4 | 36.4 | - |
InsLoc | 200 | 41.4 | 37.1 | link |
InsLoc | 400 | 42.0 | 37.6 | link |
Mask R-CNN R50-FPN 2x:
Methods | Epoch | Box AP | Mask AP | Link |
---|---|---|---|---|
MoCo-v2 | 200 | 41.7 | 37.6 | - |
MoCo-v2 | 800 | 42.5 | 38.2 | - |
InsLoc | 200 | 43.2 | 38.7 | link |
InsLoc | 400 | 43.3 | 38.8 | link |
More results are available in our paper.
Bibtex
@inproceedings{yang2021insloc,
title={Instance Localization for Self-supervised Detection Pretraining},
author={Yang, Ceyuan and Wu, Zhirong and Zhou, Bolei and Lin, Stephen},
booktitle={arXiv preprint arXiv:2102.08318},
year={2021},
}