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MODEL_ZOO.md

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PySOT Model Zoo

Introduction

This file documents a large collection of baselines trained with pysot. All configurations for these baselines are located in the experiments directory. The tables below provide results about inference. Links to the trained models as well as their output are provided.

Visual Tracking Baselines

Short-term Tracking

Model
(arch+backbone+xcorr)
VOT16
(EAO/A/R)
VOT18
(EAO/A/R)
VOT19
(EAO/A/R)
OTB2015
(AUC/Prec.)
VOT18-LT
(F1)
Speed
(fps)
url
siamrpn_alex_dwxcorr 0.393/0.618/0.238 0.352/0.576/0.290 0.260/0.573/0.547 - - 180 link
siamrpn_alex_dwxcorr_otb - - - 0.666/0.876 - 180 link
siamrpn_r50_l234_dwxcorr 0.464/0.642/0.196 0.415/0.601/0.234 0.287/0.595/0.467 - - 35 link
siamrpn_r50_l234_dwxcorr_otb - - - 0.696/0.914 - 35 link
siamrpn_mobilev2_l234_dwxcorr 0.455/0.624/0.214 0.410/0.586/0.229 0.292/0.580/0.446 - - 75 link
siammask_r50_l3 0.455/0.634/0.219 0.423/0.615/0.248 0.283/0.597/0.461 - - 56 link
siamrpn_r50_l234_dwxcorr_lt - - - - 0.629 20 link

The models can also be downloaded from Baidu Yun Extraction Code: j9yb

Note:

Video Object Segmentation Baselines

License

All models available for download through this document are licensed under the Creative Commons Attribution-ShareAlike 3.0 license.