Model Card for Model ID

Butter is a novel 2D object detection framework designed to enhance hierarchical feature representations for improved detection robustness.

Model Details

Model Description

  • Developed by: [Xiaojian Lin et al.]
  • Funded by: [National Natural Science Foundation of China]
  • Model type: [Object Detection]
  • License: [AGPL-3.0 license]

Model Sources [optional]

Uses

The training and inference details, as well as the environment configuration, can be found in our GitHub repository, where a comprehensive description is provided. The model’s performance metrics and training details are thoroughly described in the paper we provide.

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Datasets used to train Christopher-Lim/Butter