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Contrastive Learning for Multi-Object Tracking with Transformers
The DEtection TRansformer (DETR) opened new possibilities for object detection by modeling it as a translation task: converting image features into object-level representations.
Ranked #1 on
Multiple Object Tracking
on BDD100K test
TripletTrack: 3D Object Tracking using Triplet Embeddings and LSTM
We start from an off-the-shelf 3D object detector, and apply a tracking mechanism where objects are matched by an affinity score computed on local object feature embeddings and motion descriptors.
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