Benchmark:
Short name:
SORT_TAO
Description:
SORT (https://github.com/abewley/sort) applied on top of an LVIS+COCO-trained ResNet 50 Mask R-CNN. See paper for details: https://arxiv.org/abs/2005.10356.
The runtime is estimated at 2 days for running the detector on 2 4-gpu machines, and 14 hours for running SORT.
Reference:
A. Dave, T. Khurana, P. Tokmakov, C. Schmid, D. Ramanan. TAO: A Large-Scale Benchmark for Tracking Any Object. In The European Conference on Computer Vision (ECCV), 2020.
Last submitted:
July 10, 2020 (4 years ago)
Published:
July 10, 2020 at 17:44:11 CET
Submissions:
1
Project page / code:
Open source:
Yes
Hardware:
2.4GHZ, 56 cores
Runtime:
16.3 Hz
Benchmark performance:
Sequence | TrackAP50 | TrackAP75 | TrackAP50_95 | TrackAP50_area_small | TrackAP50_area_medium | TrackAP50_area_large |
TAO Challenge | 10.217 | 4.383 | 4.892 | 7.720 | 8.227 | 15.166 |
Detailed performance:
Sequence | TrackAP50 | TrackAP75 | TrackAP50_95 | TrackAP50_area_small | TrackAP50_area_medium | TrackAP50_area_large |
TAO_test | 10.217 | 4.383 | 4.892 | 7.720 | 8.227 | 15.166 |
Raw data: