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Evaluation Codes

This script is designed to compute the J and F scores where the annotations are sampled. In other words, the groundtruths are not provided for every frame.

Usages

python3 score_longvideo.py \
        --path /path/to/longvideo_dataset \
        --results_path ../output/AFB-URR_LongVideo \
        --method AFB-URR \
        --update

Our results based on the pretrained model

Global results for AFB-URR

J&F-Mean J-Mean J-Recall J-Decay F-Mean F-Recall F-Decay
0.832571 0.827035 0.916667 0.115116 0.838107 0.916667 0.138554

Per sequence results for AFB-URR

Sequence J-Mean F-Mean
rat_1 0.745197 0.763893
dressage_1 0.834371 0.874584
blueboy_1 0.901536 0.875845

Copyright

These codes are modified from DAVIS VOS Evaluation. If you use this code in your work, please cite both DAVIS dataset and our paper.