Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/QDTrack

QDTrack

Reported on 61 benchmarks across 9 tasks · 2 papers · 35 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision74 results

VideoonBDD100K val
AssocA· 2020-06-11
48.5
best: 52.9 (TETer)
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
VideoonBDD100K val
TETA· 2020-06-11
47.8
best: 55.7 (ByteTrack)
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
VideoonBDD100K val
mIDF1· 2020-06-11
50.8
best: 56.7 (UNINEXT-H)
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
VideoonBDD100K val
mMOTA· 2020-06-11
36.6
best: 45.5 (ByteTrack)
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
VideoonSportsMOT
IDF1· 2020-06-11
62.3
best: 86.5 (DeepEIoU + GTA)
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
VideoonWaymo Open Dataset
MOTA· 2020-06-11
55.6
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
VideoonWaymo Open Dataset
mAP· 2020-06-11
49.5
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Multi-Object TrackingonMOT16
IDF1· 2020-06-11
67.1
best: 76.8 (STGT)
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Multi-Object TrackingonDanceTrack
AssA· 2020-06-11
29.2
best: 72.3 (SAM2MOT)
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Multi-Object TrackingonDanceTrack
HOTA· 2020-06-11
45.7
best: 75.9 (SAM2MOT)
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Multi-Object TrackingonDanceTrack
IDF1· 2020-06-11
44.8
best: 84.4 (SAM2MOT)
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Multi-Object TrackingonSportsMOT
IDF1· 2020-06-11
62.3
best: 86.5 (DeepEIoU + GTA)
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Object TrackingonMOT16
IDF1· 2020-06-11
67.1
best: 76.8 (STGT)
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Object TrackingonDanceTrack
AssA· 2020-06-11
29.2
best: 72.3 (SAM2MOT)
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Object TrackingonDanceTrack
HOTA· 2020-06-11
45.7
best: 75.9 (SAM2MOT)
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Object TrackingonDanceTrack
IDF1· 2020-06-11
44.8
best: 84.4 (SAM2MOT)
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Object TrackingonSportsMOT
IDF1· 2020-06-11
62.3
best: 86.5 (DeepEIoU + GTA)
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Object TrackingonBDD100K val
AssocA· 2020-06-11
48.5
best: 52.9 (TETer)
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Object TrackingonBDD100K val
TETA· 2020-06-11
47.8
best: 55.7 (ByteTrack)
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Object TrackingonBDD100K val
mIDF1· 2020-06-11
50.8
best: 56.7 (UNINEXT-H)
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Object TrackingonBDD100K val
mMOTA· 2020-06-11
36.6
best: 45.5 (ByteTrack)
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Object TrackingonWaymo Open Dataset
MOTA· 2020-06-11
55.6
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Object TrackingonWaymo Open Dataset
mAP· 2020-06-11
49.5
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Object DetectiononPASCAL VOC 2012 val
MAP· 2020-06-11
22.1
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Multiple Object TrackingonBDD100K val
AssocA· 2020-06-11
48.5
best: 52.9 (TETer)
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Multiple Object TrackingonBDD100K val
TETA· 2020-06-11
47.8
best: 55.7 (ByteTrack)
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Multiple Object TrackingonBDD100K val
mIDF1· 2020-06-11
50.8
best: 56.7 (UNINEXT-H)
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Multiple Object TrackingonBDD100K val
mMOTA· 2020-06-11
36.6
best: 45.5 (ByteTrack)
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Multiple Object TrackingonSportsMOT
IDF1· 2020-06-11
62.3
best: 86.5 (DeepEIoU + GTA)
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Multiple Object TrackingonWaymo Open Dataset
MOTA· 2020-06-11
55.6
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Multiple Object TrackingonWaymo Open Dataset
mAP· 2020-06-11
49.5
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
VideoonBDD100K val
AssocA· 2022-10-12
52.2
best: 52.9 (TETer)
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking arXiv:2210.06984
VideoonBDD100K val
TETA· 2022-10-12
51.3
best: 55.7 (ByteTrack)
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking arXiv:2210.06984
VideoonBDD100K val
mIDF1· 2022-10-12
54.3
best: 56.7 (UNINEXT-H)
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking arXiv:2210.06984
VideoonBDD100K val
mMOTA· 2022-10-12
42.1
best: 45.5 (ByteTrack)
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking arXiv:2210.06984
Object TrackingonBDD100K val
AssocA· 2022-10-12
52.2
best: 52.9 (TETer)
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking arXiv:2210.06984
Object TrackingonBDD100K val
TETA· 2022-10-12
51.3
best: 55.7 (ByteTrack)
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking arXiv:2210.06984
Object TrackingonBDD100K val
mIDF1· 2022-10-12
54.3
best: 56.7 (UNINEXT-H)
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking arXiv:2210.06984
Object TrackingonBDD100K val
mMOTA· 2022-10-12
42.1
best: 45.5 (ByteTrack)
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking arXiv:2210.06984
Multiple Object TrackingonBDD100K val
AssocA· 2022-10-12
52.2
best: 52.9 (TETer)
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking arXiv:2210.06984
Multiple Object TrackingonBDD100K val
TETA· 2022-10-12
51.3
best: 55.7 (ByteTrack)
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking arXiv:2210.06984
Multiple Object TrackingonBDD100K val
mIDF1· 2022-10-12
54.3
best: 56.7 (UNINEXT-H)
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking arXiv:2210.06984
Multiple Object TrackingonBDD100K val
mMOTA· 2022-10-12
42.1
best: 45.5 (ByteTrack)
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking arXiv:2210.06984
VideoonSportsMOT
AssA· 2020-06-11
47.2
best: 74.5 (DeepEIoU + GTA)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
VideoonSportsMOT
DetA· 2020-06-11
77.5
best: 89.4 (AED)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
VideoonSportsMOT
HOTA· 2020-06-11
60.4
best: 81 (DeepEIoU + GTA)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
VideoonSportsMOT
MOTA· 2020-06-11
90.1
best: 97.1 (AED)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Multi-Object TrackingonMOT17
IDF1· 2020-06-11
66.3
best: 83.1 (TrackTrack)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Multi-Object TrackingonMOT17
MOTA· 2020-06-11
68.7
best: 81.8 (TrackTrack)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Multi-Object TrackingonMOT16
MOTA· 2020-06-11
69.8
best: 77.7 (PPTracking)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Multi-Object TrackingonDanceTrack
DetA· 2020-06-11
72.1
best: 84.14 (MT_IOT)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Multi-Object TrackingonDanceTrack
MOTA· 2020-06-11
83
best: 93.97 (MT_IOT)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Multi-Object TrackingonSportsMOT
AssA· 2020-06-11
47.2
best: 74.5 (DeepEIoU + GTA)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Multi-Object TrackingonSportsMOT
DetA· 2020-06-11
77.5
best: 89.4 (HAT-FastReID-MOT)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Multi-Object TrackingonSportsMOT
HOTA· 2020-06-11
60.4
best: 81 (DeepEIoU + GTA)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Multi-Object TrackingonSportsMOT
MOTA· 2020-06-11
90.1
best: 97.1 (AED)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Object TrackingonMOT17
IDF1· 2020-06-11
66.3
best: 83.1 (TrackTrack)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Object TrackingonMOT17
MOTA· 2020-06-11
68.7
best: 81.8 (TrackTrack)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Object TrackingonMOT16
MOTA· 2020-06-11
69.8
best: 77.7 (PPTracking)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Object TrackingonDanceTrack
DetA· 2020-06-11
72.1
best: 84.14 (MT_IOT)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Object TrackingonDanceTrack
MOTA· 2020-06-11
83
best: 93.97 (MT_IOT)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Object TrackingonSportsMOT
AssA· 2020-06-11
47.2
best: 74.5 (DeepEIoU + GTA)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Object TrackingonSportsMOT
DetA· 2020-06-11
77.5
best: 89.4 (HAT-FastReID-MOT)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Object TrackingonSportsMOT
HOTA· 2020-06-11
60.4
best: 81 (DeepEIoU + GTA)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Object TrackingonSportsMOT
MOTA· 2020-06-11
90.1
best: 97.1 (AED)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Object TrackingonSportsMOT
AssA· 2020-06-11
47.2
best: 74.5 (DeepEIoU + GTA)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Object TrackingonSportsMOT
DetA· 2020-06-11
77.5
best: 89.4 (HAT-FastReID-MOT)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Object TrackingonSportsMOT
HOTA· 2020-06-11
60.4
best: 81 (DeepEIoU + GTA)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Object TrackingonSportsMOT
IDF1· 2020-06-11
62.3
best: 86.5 (DeepEIoU + GTA)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Object TrackingonSportsMOT
MOTA· 2020-06-11
90.1
best: 97.1 (AED)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Multiple Object TrackingonSportsMOT
AssA· 2020-06-11
47.2
best: 74.5 (DeepEIoU + GTA)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Multiple Object TrackingonSportsMOT
DetA· 2020-06-11
77.5
best: 89.4 (AED)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Multiple Object TrackingonSportsMOT
HOTA· 2020-06-11
60.4
best: 81 (DeepEIoU + GTA)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
Multiple Object TrackingonSportsMOT
MOTA· 2020-06-11
90.1
best: 97.1 (AED)
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664

Methodology4 results

3DonPASCAL VOC 2012 val
MAP· 2020-06-11
22.1
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
2D ClassificationonPASCAL VOC 2012 val
MAP· 2020-06-11
22.1
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
2D Object DetectiononPASCAL VOC 2012 val
MAP· 2020-06-11
22.1
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664
16konPASCAL VOC 2012 val
MAP· 2020-06-11
22.1
SOTA
Quasi-Dense Similarity Learning for Multiple Object Tracking arXiv:2006.06664