Improve pedestrian detection by using general object detector with Cascade RCNN
Improve pedestrian detection by using general object detector with Cascade RCNN
Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond
arXiv paper abstract https://arxiv.org/abs/2201.03176v1
arXiv PDF paper https://arxiv.org/pdf/2201.03176v1.pdf
... current pedestrian detectors poorly handle even small domain shifts in cross-dataset evaluation.
... attribute the limited generalization to two main factors, ... biasness present in the design choices (e.g anchor settings) ... Most modern pedestrian detectors are tailored towards target dataset
... Consequently, a general object detector performs better in cross-dataset evaluation compared with state of the art pedestrian detectors
... benchmarks curated by crawling the web (which contain diverse and dense scenarios), are an efficient source of pre-training for providing a more robust representation.
... propose a progressive fine-tuning strategy which improves generalization. ...
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