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Datasets

Greatest papers with code

SMOT: Single-Shot Multi Object Tracking

30 Oct 2020dmlc/gluon-cv

We combine this scheme with SSD detectors by proposing a novel tracking anchor assignment module.

MULTI-OBJECT TRACKING

FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking

4 Apr 2020ifzhang/FairMOT

There has been remarkable progress on object detection and re-identification (re-ID) in recent years which are the key components of multi-object tracking.

 Ranked #1 on Multi-Object Tracking on MOT16 (using extra training data)

FAIRNESS MULTI-OBJECT TRACKING MULTIPLE OBJECT TRACKING OBJECT DETECTION

Towards Real-Time Multi-Object Tracking

ECCV 2020 Zhongdao/Towards-Realtime-MOT

In this paper, we propose an MOT system that allows target detection and appearance embedding to be learned in a shared model.

Ranked #6 on Multi-Object Tracking on MOT16 (using extra training data)

MULTIPLE OBJECT TRACKING MULTI-TASK LEARNING REAL-TIME MULTI-OBJECT TRACKING

Tracking Objects as Points

ECCV 2020 xingyizhou/CenterTrack

Nowadays, tracking is dominated by pipelines that perform object detection followed by temporal association, also known as tracking-by-detection.

MULTI-OBJECT TRACKING MULTIPLE OBJECT TRACKING OBJECT DETECTION

3D Multi-Object Tracking: A Baseline and New Evaluation Metrics

9 Jul 2019xinshuoweng/AB3DMOT

Additionally, 3D MOT datasets such as KITTI evaluate MOT methods in the 2D space and standardized 3D MOT evaluation tools are missing for a fair comparison of 3D MOT methods.

3D MULTI-OBJECT TRACKING AUTONOMOUS DRIVING MULTIPLE OBJECT TRACKING

Tracking without bells and whistles

ICCV 2019 phil-bergmann/tracking_wo_bnw

Therefore, we motivate our approach as a new tracking paradigm and point out promising future research directions.

MOTION COMPENSATION MOTION PREDICTION MULTI-OBJECT TRACKING

How To Train Your Deep Multi-Object Tracker

CVPR 2020 yihongXU/deepMOT

In this paper, we bridge this gap by proposing a differentiable proxy of MOTA and MOTP, which we combine in a loss function suitable for end-to-end training of deep multi-object trackers.

MULTI-OBJECT TRACKING MULTIPLE OBJECT TRACKING

Joint Object Detection and Multi-Object Tracking with Graph Neural Networks

23 Jun 2020yongxinw/GSDT

Despite the fact that the two components are dependent on each other, prior works often design detection and data association modules separately which are trained with separate objectives.

MULTI-OBJECT TRACKING OBJECT DETECTION