DEFT
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Joint detection and tracking model named DEFT, or ``Detection Embeddings for Tracking." Our approach relies on an appearance-based object matching network jointly-learned with an underlying object det...
Hi, The length of the trajectory samples in the [training set](https://github.com/MedChaabane/DEFT/blob/71abba2c69a9d3a4d07154a1ed871f8846ba8648/src/lib/dataset/trajectory_dataset.py#L150) does not seem to be 10 as stated in the paper, but rather 9,10,11. Is this the reason why...
I am very interested in this work, I would like to reproduce it, but can you help me, I can run test.py file, but when I want to train yes,...
What is the exact inference speed you are getting on the MOT 17 dataset?
Hi, Thanks for your work. I am wondering if there is a full metrics on nuScenes validation split (Tracking). I read your paper, and checked some of the issues, didn't...
Hi, thank you every much for releasing the code ! I’ve been working on reproducing the results on the nuScences dataset and met some problems. 1. Hyper-parameters differs between code...
Hi and thanks for your work! I'm trying to train DEFT on a dataset which I have used to train CenterTrack successfully before. When running train.py the output seems promising:...
How can I use the model to predict my own video
Hi, I have some questions about the experiment on kitii_tracking. I notice that the paper said "All object detectors were pre-trained on the COCO dataset". But the setting in your...
Hi, thanks for your amazing work. In the paper, you mentioned using lambda_1 and lambda_2, which balancing weights to the two tasks. However, I found self.s_det and self.s_id are not...