Baselines

Baselines are selected by command name:

pixi run eventlab <baseline> <dataset> <reference> <query>

Event-LAB downloads or prepares the selected baseline, formats the reference and query data, runs the method, then evaluates the saved distance or similarity matrix against the ground truth.

Available baselines

Baseline	Command name	Notes
EventVLAD	eventvlad	Uses reconstructed frames and EventVLAD weights.
Ensemble-Event-VPR	ensemble	Runs the ensemble baseline over prepared event frames.
LENS	lens	Runs the LENS baseline with its own baseline config.
Sparse-Event-VPR	sparse_event	Samples sparse event pixels from generated frames.
VPR-Methods	vprmethods	Runs image VPR methods on reconstructed frames.

Baseline configuration

Baseline-specific settings live beside each baseline wrapper, for example baselines/sparse_event.yaml and baselines/eventvlad.yaml. These files control method settings, while config.yaml controls shared Event-LAB settings such as time windows and frame generation.

Outputs

Each run writes baseline outputs under output/<baseline>/ and appends the evaluation summary to:

output/eventlab_results.xlsx

For each baseline run, Event-LAB expects one or more .npy matrices in the baseline output directory. Distance matrices use lower values for better matches; similarity matrices use higher values for better matches. The baseline wrapper declares which type it produces before metrics are calculated.