SYSU-MM01-C

Dataset Information
Modalities
Images
Introduced
2021
License
Unknown
Homepage
Official Website
Contents

Overview

SYSU-MM01-C is an evaluation set that consists of algorithmically generated corruptions applied to the SYSU-MM01 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: SYSU-MM01-C

Associated Benchmarks

This dataset is used in 1 benchmark:

  • Person Re-Identification - Metrics: Rank-1 (All Search), mAP (All Search), mINP (All Search), Rank-1 (Indoor Search), mAP (Indoor Search), mINP (Indoor Search), Rank-1 (All Search), Rank-1 (Indoor Search), mAP (All Search), mAP (Indoor Search), mINP (All Search), mINP (Indoor Search)

Recent Benchmark Submissions

Task Model Paper Date
Person Re-Identification CIL (ResNet-50) Benchmarks for Corruption Invariant Person … 2021-11-01
Person Re-Identification AGW (ResNet-50) Deep Learning for Person Re-identification: … 2020-01-13

Research Papers

Recent papers with results on this dataset:

External Links: