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SotA/Methodology/2D Classification/Cityscapes

2D Classification on Cityscapes

Metric: mPC [AP] (higher is better)

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#Model↕mPC [AP]▼AugmentationsPaperDate↕Code
1FGT (SD-1.5 Backbone)27.4NoBoosting Domain Generalized and Adaptive Detecti...2025-06-26Code
2GDD (SD-1.5 Backbone)24.1NoGeneralized Diffusion Detector: Mining Robust Fe...2025-03-03Code
3PhysAug22.6NoPhysAug: A Physical-guided and Frequency-based D...2024-12-16Code
4FGT (R101, Faster RCNN)22.1NoBoosting Domain Generalized and Adaptive Detecti...2025-06-26Code
5OA-DG21.8NoObject-Aware Domain Generalization for Object De...2023-12-19Code
6GDD (R101, Faster RCNN)21.3NoGeneralized Diffusion Detector: Mining Robust Fe...2025-03-03Code
7OA-Mix20.8NoObject-Aware Domain Generalization for Object De...2023-12-19Code
8AugMix18.1NoAugMix: A Simple Data Processing Method to Impro...2019-12-05Code
9Stylized Training Data17.2NoBenchmarking Robustness in Object Detection: Aut...2019-07-17Code
10Photometric distortion16.9NoYOLOv3: An Incremental Improvement2018-04-08Code
11AutoAug-det15.8NoLearning Data Augmentation Strategies for Object...2019-06-26Code
12Cutout15.7NoRandom Erasing Data Augmentation2017-08-16Code
13Baseline15.4NoFaster R-CNN: Towards Real-Time Object Detection...2015-06-04Code