All pretrained models can be downloaded from Google Drive.
Arch | Pretrain Epoch | Link |
---|---|---|
C4 | 200 | link |
C4 | 400 | link |
FPN | 200 | link |
FPN | 400 | link |
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 |
---|---|---|---|
MoCo-v2 | 200 | 38.9 | 34.1 |
MoCo-v2 | 800 | 39.3 | 34.3 |
InsLoc | 200 | 39.5 | 34.5 |
InsLoc | 400 | 39.8 | 34.7 |
Mask R-CNN R50-C4 2x:
Methods | Epoch | Box AP | Mask AP |
---|---|---|---|
MoCo-v2 | 200 | 40.7 | 35.6 |
MoCo-v2 | 800 | 41.2 | 35.8 |
InsLoc | 200 | 41.4 | 35.9 |
InsLoc | 400 | 41.8 | 36.3 |
Mask R-CNN R50-FPN 1x:
Methods | Epoch | Box AP | Mask AP |
---|---|---|---|
MoCo-v2 | 200 | 39.8 | 36.1 |
MoCo-v2 | 800 | 40.4 | 36.4 |
InsLoc | 200 | 41.4 | 37.1 |
InsLoc | 400 | 42.0 | 37.6 |
Mask R-CNN R50-FPN 2x:
Methods | Epoch | Box AP | Mask AP |
---|---|---|---|
MoCo-v2 | 200 | 41.7 | 37.6 |
MoCo-v2 | 800 | 42.5 | 38.2 |
InsLoc | 200 | 43.2 | 38.7 |
InsLoc | 400 | 43.3 | 38.8 |
More results are available in our paper.