Tiling artifacts and trade-offs of feature normalization in the segmentation of large biological images at ICCV 2025
| Name | norm layer | track_running_stats | whole vol percentile norm | tile-wise percentile norm | intensity augm | dropout | use running stats in training |
|---|---|---|---|---|---|---|---|
| setup_01 | InstanceNorm | True | yes | no | no | no | no |
| setup_02 | InstanceNorm | True | yes | yes | no | no | no |
| setup_03 | InstanceNorm | False | yes | no | no | no | no |
| setup_04 | InstanceNorm | False | yes | yes | no | no | no |
| setup_05 | InstanceNorm | True | yes | no | no | no | no |
| setup_06 | BatchRenorm | True | yes | no | no | no | no |
| setup_07 | NoNorm | False | yes | no | no | no | no |
| Name | norm layer | track_running_stats | whole vol percentile norm | tile-wise percentile norm | intensity augm | dropout | use running stats in training |
|---|---|---|---|---|---|---|---|
| setup_01 | InstanceNorm | True | yes | no | no | no | no |
| setup_02 | InstanceNorm | True | yes | yes | no | no | no |
| setup_03 | InstanceNorm | False | yes | no | no | no | no |
| setup_04 | InstanceNorm | False | yes | yes | no | no | no |
| setup_05 | InstanceNorm | True | yes | no | no | no | no |
| setup_06 | BatchRenorm | True | yes | no | no | no | no |
| setup_07 | NoNorm | False | yes | no | no | no | no |
(same for all 3 datasets)
| Name | norm layer | track_running_stats | whole vol percentile norm | tile-wise percentile norm | intensity augm | dropout | use running stats in training |
|---|---|---|---|---|---|---|---|
| setup_01 | InstanceNorm | False | yes | no | no | no | no |
| setup_02 | InstanceNorm | True | yes | no | no | no | no |
| setup_03 | BatchRenorm | True | yes | no | no | no | no |
| setup_04 | NoNorm | False | yes | no | no | no | no |