Search Results for author:
Found 3 papers, 2 papers with code
Multiple Object Tracking as ID Prediction
In Multiple Object Tracking (MOT), tracking-by-detection methods have stood the test for a long time, which split the process into two parts according to the definition: object detection and association.
Ranked #1 on
Multi-Object Tracking
on DanceTrack
(using extra training data)
MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking
Experimental results on DanceTrack show that MeMOTR impressively surpasses the state-of-the-art method by 7. 9% and 13. 0% on HOTA and AssA metrics, respectively.
Ranked #6 on
Multi-Object Tracking
on SportsMOT
Dynamic MDETR: A Dynamic Multimodal Transformer Decoder for Visual Grounding
The sampling module aims to select these informative patches by predicting the offsets with respect to a reference point, while the decoding module works for extracting the grounded object information by performing cross attention between image features and text features.
