paper-with-me

Multiple Object Tracking 벤치마크

Multiple Object Tracking on BDD100K val

27개 결과 · ⬇ CSV · JSON

mMOTA

34.4 37.17 39.95 42.73 45.5 2020-06 2026-11 QDTrack — 36.6 (2020-06-11) QDTrack — 36.6 (2020-06-11) QDTrack — 36.6 (2020-06-11) ByteTrack — 45.5 (2021-10-13) ByteTrack — 45.5 (2021-10-13) ByteTrack — 45.5 (2021-10-13) Unicorn — 41.2 (2022-07-14) Unicorn — 41.2 (2022-07-14) Unicorn — 41.2 (2022-07-14) TETer — 39.1 (2022-07-26) TETer — 39.1 (2022-07-26) TETer — 39.1 (2022-07-26) Adaptive-searching -windows Tracker — 34.4 (2022-08-22) Adaptive-searching -windows Tracker — 34.4 (2022-08-22) Adaptive-searching -windows Tracker — 34.4 (2022-08-22) QDTrack — 42.1 (2022-10-12) QDTrack — 42.1 (2022-10-12) QDTrack — 42.1 (2022-10-12) MOTRv2 — 43.6 (2022-11-17) MOTRv2 — 43.6 (2022-11-17) MOTRv2 — 43.6 (2022-11-17) UNINEXT-H — 44.2 (2023-03-12) UNINEXT-H — 44.2 (2023-03-12) UNINEXT-H — 44.2 (2023-03-12) ContrasTR — 41.7 (2023-11-14) ContrasTR — 41.7 (2023-11-14) ContrasTR — 41.7 (2023-11-14) QDTrack — 36.6 (2020-06-11) ByteTrack — 45.5 (2021-10-13)
RankModel mMOTAmIDF1TETAAssocA PaperCodeYear
1 ByteTrack 45.554.855.751.5 ByteTrack: Multi-Object Tracking by Associating Every Detection Box PaddlePaddle/PaddleDetection · mikel-brostrom/boxmot · ifzhang/ByteTrack · +7 2021
2 UNINEXT-H 44.256.7-- Universal Instance Perception as Object Discovery and Retrieval MasterBin-IIAU/UNINEXT 2023
3 MOTRv2 43.656.5-- MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors megvii-research/MOTRv2 · DanceTrack/DanceTrack · bingfengyan/visam · +1 2022
4 QDTrack 42.154.351.352.2 QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking SysCV/qdtrack · ethvis/qd-track 2022
5 ContrasTR 41.752.9-- Contrastive Learning for Multi-Object Tracking with Transformers pfdp0/ContrasTR 2023
6 Unicorn 41.254.0-– Towards Grand Unification of Object Tracking masterbin-iiau/unicorn 2022
7 TETer 39.153.350.852.9 Tracking Every Thing in the Wild SysCV/tet 2022
8 QDTrack 36.650.847.848.5 Quasi-Dense Similarity Learning for Multiple Object Tracking SysCV/qdtrack · syscv/ovtrack · SysCV/tet 2020
9 Adaptive-searching -windows Tracker 34.456.5-- Tackling multiple object tracking with complicated motions—Re-designing the integration of motion and appearance 2022
10 ByteTrack 45.554.855.751.5 ByteTrack: Multi-Object Tracking by Associating Every Detection Box PaddlePaddle/PaddleDetection · mikel-brostrom/boxmot · ifzhang/ByteTrack · +7 2021
11 UNINEXT-H 44.256.7-- Universal Instance Perception as Object Discovery and Retrieval MasterBin-IIAU/UNINEXT 2023
12 MOTRv2 43.656.5-- MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors megvii-research/MOTRv2 · DanceTrack/DanceTrack · bingfengyan/visam · +1 2022
13 QDTrack 42.154.351.352.2 QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking SysCV/qdtrack · ethvis/qd-track 2022
14 ContrasTR 41.752.9-- Contrastive Learning for Multi-Object Tracking with Transformers pfdp0/ContrasTR 2023
15 Unicorn 41.254.0-– Towards Grand Unification of Object Tracking masterbin-iiau/unicorn 2022
16 TETer 39.153.350.852.9 Tracking Every Thing in the Wild SysCV/tet 2022
17 QDTrack 36.650.847.848.5 Quasi-Dense Similarity Learning for Multiple Object Tracking SysCV/qdtrack · syscv/ovtrack · SysCV/tet 2020
18 Adaptive-searching -windows Tracker 34.456.5-- Tackling multiple object tracking with complicated motions—Re-designing the integration of motion and appearance 2022
19 ByteTrack 45.554.855.751.5 ByteTrack: Multi-Object Tracking by Associating Every Detection Box PaddlePaddle/PaddleDetection · mikel-brostrom/boxmot · ifzhang/ByteTrack · +7 2021
20 UNINEXT-H 44.256.7-- Universal Instance Perception as Object Discovery and Retrieval MasterBin-IIAU/UNINEXT 2023
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