MSMT17-C is an evaluation set that consists of algorithmically generated corruptions applied to the MSMT17 test-set. These corruptions consist of Noise: Gaussian, shot,
impulse, and speckle; Blur: defocus, frosted glass, motion, zoom, and Gaussian; Weather: snow, frost, fog, brightness, spatter, and rain; Digital: contrast, elastic, pixel, JPEG compression, and saturate. Each corruption has five severity levels, resulting in 100 distinct corruptions.
Variants: MSMT17-C
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Person Re-Identification | CIL (ResNet-50) | Benchmarks for Corruption Invariant Person … | 2021-11-01 |
| Person Re-Identification | SBS (ResNet-50) | FastReID: A Pytorch Toolbox for … | 2020-06-04 |
| Person Re-Identification | AGW (ResNet-50) | Deep Learning for Person Re-identification: … | 2020-01-13 |
| Person Re-Identification | OS-Net | Omni-Scale Feature Learning for Person … | 2019-05-02 |
| Person Re-Identification | BoT (ResNet-50) | Bag of Tricks and A … | 2019-03-17 |
Recent papers with results on this dataset: