1st Place Solution to ECCV-TAO-2020: Detect and Represent Any Object for Tracking

Code

• github.com/feiaxyt/Winner_ECCV20_TAO
  OfficialIn paperpytorch★ 82

Abstract

We extend the classical tracking-by-detection paradigm to this tracking-any-object task. Solid detection results are first extracted from TAO dataset. Some state-of-the-art techniques like BAlanced-Group Softmax (BAGSli2020overcoming) and DetectoRSqiao2020detectors are integrated during detection. Then we learned appearance features to represent any object by training feature learning networks. We ensemble several models for improving detection and feature representation. Simple linking strategies with most similar appearance features and tracklet-level post association module are finally applied to generate final tracking results. Our method is submitted as AOA on the challenge website. Code is available at https://github.com/feiaxyt/Winner_ECCV20_TAO.

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Benchmark Results

Reproductions