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NVIDIA
NVIDIA
Re-Identification Transformer
Model
NVIDIA
NVIDIA
Re-Identification Transformer

SWIN Transformer based Re-Identification network to generate embeddings for identifying persons in different scenes.

This model is backed by NVIDIA's Plus Plus (++) Promise
to learn more about the quality of the datasets used to train this model.
FieldResponse
Model Application(s):Re-Identification network to generate embeddings for identifying persons in different scenes
Describe the life-critical application (if present).None: Not within Operational Design Domain
Use Case Restrictions:Abide by https://www.nvidia.com/en-us/data-center/products/nvidia-ai-enterprise/eula/
Describe access restrictions (if any):The Principle of least privilege (PoLP) is applied limiting access for dataset generation and model development. Restrictions enforce dataset access during training, and dataset license constraints adhered to.