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 detection network. An LSTM is also added to capture motion constraints.
Hi,
The length of the trajectory samples in the training set does not seem to be 10 as stated in the paper, but rather 9,10,11. Is this the reason why dataloader sets batchsize to 1?
Hi, The length of the trajectory samples in the training set does not seem to be 10 as stated in the paper, but rather 9,10,11. Is this the reason why dataloader sets batchsize to 1?