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Repository for End-to-End Differentiable Multi-View Tracking: Architecture and Fine-Tuning Experiments accepted at FUSION 2025.

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Differentiable Multi-View Tracking

Repository for our paper: End-to-End Differentiable Multi-View Tracking: Architecture and Fine-Tuning Experiments accepted at FUSION 2025.

If you are interested in this project don't hesitate to email Colin Samplawski at colin.samplawski@sri.com for more information.

Usage

  • The environment for this project is managed using the apptainer container framework.
  • The container file can be downloaded from the following Google Drive link.
  • The evaluation scripts require an SRCROOT environment variable that contains the path to the cloned repo. This can be set with export or using a .bashrc file.

Data Cache

A cache of the DETR query embeddings, videos as loose PNG files, and object ground truth is available at the following Google Drive link. Download it and unzip to $SRCROOT/cache.

Checkpoints

Likewise trained model checkpoints are available at the following Google Drive link. Unzip them to $SRCROOT/checkpoints

Evaluation

To run an evaluation use the following bash command: bash exps/single_obj/eval.sh or bash exps/multi_obj/eval.sh

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Repository for End-to-End Differentiable Multi-View Tracking: Architecture and Fine-Tuning Experiments accepted at FUSION 2025.

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