An investigation for RGBT tracking. Hopefully, it can help other researchers become familiar with multi-modal tracking as soon as possible. This repository is started on 02/07/2023, and will keep on updating.
This repository will give a detail investigation of the RGBT tracking community, including the Datasets, Results, and the Methods.
- Datasets
- Results
- Methods
- Competitions
- ...
- Multi-modal visual tracking: Review and experimental comparison. Zhang, Pengyu, Dong Wang*, and Huchuan Lu. Computational Visual Media 2024. [Paper]
- RGBT tracking: A comprehensive review. Mingzheng Feng, Jianbo Su*. Information Fusion 2024. [Paper]
- Review and Analysis of RGBT Single Object Tracking Methods: A Fusion Perspective. Zhihao Zhang, Jun Wang, Zhuli Zang, Lei Jin, Shengjie Li, Hao Wu*,Jian Zhao, Zhang Bo. ACM TOMM 2024. [Paper]
- Object fusion tracking based on visible and infrared images: A comprehensive review. Xingchen Zhang, Ping Ye, Henry Leung, Ke Gong, Gang Xiao*. Information Fusion 2020. [Paper]
- A Survey for Deep RGBT Tracking. Zhangyong Tang, Tianyang Xu, and Xiao-Jun Wu*. Arxiv 2022. [Paper]
Real Data
Dataset | Publish | GitHub | Introduction |
---|---|---|---|
OTCBVS | CVIU'2007 | OTCBVS | 9 videos |
LITIV | CVIU'2012 | LITIV | 6 videos |
GTOT | TIP'2016 | GTOT | 50 Video pairs, about 1.5W frames |
RGBT210 | ACM MM'2017 | RGBT210 | 210 Video pairs |
RGBT234 | PR'2018 | RGBT234 | 234 Video pairs, the extension of RGBT210 |
VOT-RGBT19 | VOT Community:2019 | VOT-RGBT2019 CODE:TZYD | 60 Video pairs, about 2W frame pairs, a sub-set of RGBT 234 |
VOT-RGBT20 | VOT Community: 2020 | VOT-RGBT2020 CODE:TZYD | 60 Video pairs, its data is the same with VOT-RGBT2019, but with different evaluation mechanism |
LasHeR | TIP'2021 | LasHeR | train/test split, imaged in the head-up view, above 70W image pairs in total; 245 videos in the test set |
VTUAV | CVPR'2022 | VTUAV | imaged in the top-down view by uav, long-term;176 videos in the test-st, which has around 3300 frames in average |
MV-RGBT | Arxiv'2024 | MV-RGBT | 122 video pairs. The data in this benchmark mainly focus on the modality validity. |
Generated Data
Dataset | Publish | GitHub | Introduction |
---|---|---|---|
LSS-Dataset(from RGB) | TCSVT'2021 | LSS-Dataset ,code(Ye5Q) | Generated from VID |
LSS-Dataset(from TIR) | TCSVT'2021 | LSS-Dataset,code(IHws) | Generated from TIR |
GTOT | RGBT210 | RGBT234 | LasHeR | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Methods | Venue | Speed | PR | SR | PR | SR | PR | SR | PR | NPR | SR | |
TBSI-E | TPAMI'2024 | 58.3/3080Ti | 91.0 | 67.0 | 75.5 | 71.5 | 59.6 | |||||
S2OTformer | ACMTOMM'2024 | 40/3090Ti | 83.1 | 70.2 | 68.4 | 47.7 | 39.8 | 29.5 | ||||
STMT | Arxiv'2024 | 39.1/3090Ti | 83.0 | 59.5 | 86.5 | 63.8 | 67.4 | 63.4 | 53.7 | |||
MFATrack | PR'2024 | 25/3090 | 81.7 | 57.5 | 63.3 | 49.8 | ||||||
CFBT | Arxiv'2024 | 87.7 | 63.0 | 89.9 | 65.9 | 73.2 | 69.5 | 58.4 | ||||
SiamSCR | IEEE Sensor Journal'2024 | 37.2 | 91.7 | 73.7 | 79.1 | 57.5 | 52.2 | 40.1 | ||||
SiamMGT | The Journal of Supercomputing'2024 | 90.9 | 73.9 | 81.1 | 60.4 | 54.8 | 41.6 | |||||
AINet | arxiv'2024 | 37.5/4090 | 87.5 | 64.8 | 89.2 | 67.3 | 74.2 | 70.1 | 59.1 | |||
MambaVT | ARxiv'2024 | 31.1/A100 | 95.2 | 78.6 | 88.5 | 64.4 | 90.7 | 67.5 | 72.7 | 69.0 | 57.5 | |
AMAtrack | TIM'2024 | 68.3/RTX3070 | 82.6 | 61.2 | ||||||||
CAFormer | ARxiv'2024 | 83.6/RTX3080Ti | 91.8 | 76.9 | 85.6 | 63.2 | 88.3 | 66.4 | 70.0 | 66.1 | 55.6 | |
VLCTrack | NeuroComputing'2024 | 90.9/RTX4090 | 90.1 | 76.8 | 81.1 | 59.1 | 56.4 | 51.8 | 43.7 | |||
MixRGBX | NeuroComputing'2024 | 85.3 | 63.2 | 67.2 | 53.2 | |||||||
TGTrack | TCSVT'2024 | 87.2 | 64.1 | 89.3 | 67.0 | 73.2 | 69.1 | 57.9 | ||||
CKD | ACMMM'2024 | 96.4/4090 | 92.5 | 75.1 | 88.4 | 65.2 | 90.0 | 67.4 | 73.2 | 69.4 | 58.1 | |
IIMF | ACMMM'2024 | 85.6 | 62.4 | 86.8 | 64.4 | 72.4 | 68.4 | 58.1 | ||||
MMSTC | TIP'2024 | 94.1 | 77.9 | 88.6 | 65.7 | 89.8 | 67.3 | 72.3 | 68.6 | 57.4 | ||
MELT | ACMTOMM'2024 | 20 | 75.3 | 54.6 | 57.3 | 52.7 | 45.0 | |||||
TIH | PR'2024 | 72 | 93.5 | 77.0 | 89.4 | 66.4 | 72.0 | 67.7 | 57.2 | |||
AMRT | electronics'2024 | 32.31 | 90.0 | 73.0 | 84.4 | 60.2 | 46.8 | 32.4 | ||||
XTrack | Arxiv'2024 | - | - | - | 84.8 | 62.2 | 65.5 | 52.5 | ||||
SeqTrackv2 | Arxiv'2024 | - | 68.5 | 92.3 | 76.7 | 61.0 | ||||||
KSTrack | TCSVT'2024 | - | 95.5 | 74.1 | 85.0 | 58.7 | ||||||
MINet | IVC'2024 | - | 84.3 | 62.9 | 65.9 | 52.9 | ||||||
BAT | AAAI'2024 | - | - | - | 86.8 | 64.1 | 70.2 | 56.3 | ||||
TATrack | AAAI'2024 | 26.1/RTX3090 | - | - | 85.3 | 61.8 | 87.2 | 64.4 | 70.2 | 66.7 | 56.1 | |
GMMT | AAAI'2024 | 18/RTX3090Ti | 93.6 | 78.5 | - | - | 87.9 | 64.7 | 70.7 | 67.0 | 56.6 | |
LMINet | IEEE Sensors Journal'2024 | 5.6/V100 | 91.4 | 73.6 | - | - | 83.8 | 59.2 | 49.0 | 43.3 | 34.8 | |
CAT++ | TIP'2024 | 14/2080Ti | 91.5 | 73.3 | 82.2 | 56.1 | 84.0 | 59.2 | 50.9 | 44.4 | 34.8 | |
AMNet | TCSVT'2024 | 14/2080Ti | 92.9 | 77.4 | - | - | 87.7 | 65.5 | 70.2 | 66.0 | 55.9 | |
MPLKD | Arxiv'2024 | 81.8/RTX3090 | 92.4 | 77.3 | - | - | 87.3 | 65.1 | 71.4 | - | 56.7 | |
QueryTrack< | TIP'2024 | 27/RTX A6000 | 92.3 | 75.9 | - | - | 84.1 | 60.0 | 66.0 | - | 52.0 | |
MCTrack | TCSVT'2024 | - | 94.1 | 77.6 | 86.4 | 63.7 | 87.5 | 65.6 | 71.6 | 67.6 | 57.1 | |
SDSTrack | CVPR'2024 | 21/RTX3090Ti | - | - | - | - | 84.8 | 62.5 | - | 66.5 | 53.1 | |
OneTracker | CVPR'2024 | - | - | - | - | - | 85.7 | 64.2 | - | 67.2 | 53.8 | |
UnTrack | CVPR'2024 | - | - | - | - | - | 84.2 | 62.5 | 66.7 | - | 53.6 | |
UStrack | IJCAI'2024 | 84.2 | 93.4 | 78.3 | 87.4 | 65.8 | ||||||
AFter | Arxiv'2024 | 23/RTX 4090 | 91.6 | 78.5 | 87.6 | 63.5 | 90.1 | 66.7 | 70.3 | 65.8 | 55.1 | |
CSTNet | Arxiv'2024 | - | - | - | 86.0 | 63.5 | 88.4 | 65.2 | 71.5 | 67.9 | 57.2 | |
CAFF | JSEE'2024 | - | 85.2 | 72.6 | 71.5 | 49.2 | 74.0 | 50.6 | - | - | - | |
ASFNet | 2024 | - | 91.7 | 73.9 | - | * | 84.1 | 57.3 | 51.1 | - | 35.9 | |
IPL | Arxiv'2024 | - | - | - | 88.3 | 65.7 | 69.4 | 65.6 | 55.3 | |||
MPT | TCSVT'2024 | - | - | - | - | - | 76.9 | 55.0 | 35.5 | - | 31.3 | |
MIGTD | PR'2024 | - | - | - | - | - | 87.6 | 65.8 | 72.0 | 68.1 | 57.2 | |
Proformer | TCSVT'2024 | 22 | - | - | 86.8 | 62.2 | 89.9 | 65.7 | 67.4 | 63.0 | 53.3 | |
AWCM | TOMM'2024 | 5/1080Ti | 89.6 | 73.8 | - | - | 79.6 | 56.9 | ||||
JTPMA | INFFUS'2023 | 15 | 90.7 | 75.1 | 80.3 | 56.2 | 53.8 | 48.2 | 37.3 | |||
FDAFT | PRCV'2023 | 88.2 | 66.4 | 68.9 | - | 55.3 | ||||||
DFAT | INFFUS'2023 | 22/RTX2080Ti | 0.893 | 0.723 | - | - | 0.758 | 0.552 | - | - | 0.336 | |
ViPT | CVPR'2023 | - | - | - | - | - | 0.835 | 0.617 | 0.651 | - | 0.525 | |
CMD | CVPR'2023 | 30/RTX1080Ti | 0.892 | 0.734 | - | - | 0.824 | 0.584 | 0.590 | 0.546 | 0.464 | |
TBSI | CVPR'2023 | 36/RTX3080Ti | - | - | 0.853 | 0.625 | 0.871 | 0.637 | 0.692 | 0.657 | 0.556 | |
BD2Track | SPL'2023 | - | - | - | - | - | - | - | 0.560 | - | 0.432 | |
EANet | ICMV'2023 | - | - | 83.5 | 58.4 | 50.6 | - | 36.7 | ||||
SiamTDR | TICPS'2023 | 127/RTX3090 | 88.5 | 71.4 | - | - | - | - | - | - | - | |
SiamAFTS | ScienticReport'2023 | - | 84.9 | 77.7 | 87.3 | 56.4 | 89.0 | 60.2 | - | - | - | |
UMT | AIEA'2023 | 3/GTX1080Ti | 89.2 | 73.0 | 84.2 | 60.3 | 49.3 | 43.0 | 36.9 | |||
MPDMT | ICPR'2023 | 40/RTX3080 | 90.6 | 75.7 | 80.6 | 58.3 | ||||||
RSFNet | SPL'2023 | 83/RTX3090 | 92.1 | 75.3 | - | - | 86.3 | 62.2 | 65.9 | - | 52.6 | |
QAT | ACMMM'2023 | 22/ | 91.5 | 75.5 | 86.8 | 61.9 | 88.4 | 64.3 | 64.2 | 59.6 | 50.1 | |
PRO | CCDC'2023 | - | - | 68.0 | 47.8 | - | - | - | - | - | ||
DFNet | TIST'2023 | 88.1 | 71.9 | - | - | 77.2 | 51.3 | - | - | - | ||
DTAN | Cognitive Computation'2023 | 0.5 | 88. | 71.5 | - | - | 78.2 | 55.1 | 57.5 | 51.6 | 41.0 | |
DECFNet | ICMA'2023 | 27.6 | 90.4 | 70.8 | - | - | - | - | 49.6 | - | 35.0 | |
DMSTM | TIM'2023 | 92.9 | 75.9 | - | - | 78.6 | 56.2 | 54.1 | 49.4 | 40.0 | ||
SiamFEA | JVCIR'2023 | 92.0 | 76.6 | - | - | 83.7 | 61.7 | 64.5 | - | 50.9 | ||
HATFNet | Applied Intelligence'2023 | 9.8 | 91.8/td> | 77.3 | - | - | 80.7 | 59.5 | - | - | - | |
MACFT | Sensors'2023 | 31 | -/td> | - | - | - | 85.7 | 62.2 | 65.3 | - | 51.4 | |
LCMIT | SCIENCE CHINA Information Sciences'2023 | 93.9/td> | 74.1 | - | - | 83.1 | 57.8 | - | - | - | ||
MMMPT | IPT'2023 | 90.3/td> | 73.6 | - | - | 79.8 | 54.6 | 53.0 | - | 40.0 | ||
MPDMT | ICPR'2023 | 42 | 90.6/td> | 75.7 | - | - | 80.7 | 58.3 | 53.0 | - | 40.0 | |
FSBNet | Neural Computing and Applications'2023 | 27 | 91.3/td> | 72.1 | - | - | 82.4 | 56.2 | 53.7 | - | 42.5 | |
MTNet | ICME'2023 | - | 93.5/td> | 76.0 | - | - | 85.0 | 61.9 | 60.8 | - | 47.4 | |
SiamMFF | CACML'2023 | - | 90.5/td> | 73.6 | - | - | 81.2 | 57.3 | 60.8 | - | 47.4 | |
LSAR | TCSVT'2023 | - | 85.5/td> | 70.3 | 77.5 | 54.9 | 78.4 | 55.9 | 46.0 | - | 38.5 | |
CSMMA | Sensors Journal'2023 | 20 | 89.5/td> | 73.0 | - | - | 77.8 | 53.2 | - | - | - | |
MPLT | Arxiv'2023 | -/td> | - | 86.2 | 63.0 | 88.4 | 65.7 | 72.0 | - | 57.1 | ||
CRSP | ICIP'2023 | - | 90.4 | 77.2 | 74.0 | 63.2 | - | - | - | - | - | |
GABBP | TNNLS'2023 | - | 90.3 | 77.2 | 68.6 | 68.5 | - | 59.7 | - | - | - | |
PLASSO-ADSPF | KBS'2023 | 63 | - | - | - | - | 82.7 | 59.2 | 54.7 | - | 47.4 | |
SRCDCF | IPT'2023 | 53 | 83.0 | 65.3 | 66.3 | 47.5 | 66.9 | 47.8 | - | - | - | |
MFENet | Multimedia Tools and Applications'2023 | 1.43 | 89.8 | 71.9 | - | - | 83.2 | 57.1 | 51.7 | - | 37.4 | |
RMFNet | Applied Sciences'2023 | 10 | 91.1 | 76.9 | - | - | 79.4 | 58.5 | - | - | - | |
M2GCI | NPL'2023 | 90.9 | 73.7 | - | - | 79.3 | 56.9 | - | - | - | ||
SiamIVFN | JMLC'2023 | 147 | 91.5 | 79.3 | - | - | 81.1 | 63.2 | - | - | - | |
STRT | Applied Intelligence'2023 | 15 | 91.3 | 74.4 | 80.2 | 56.8 | 83.6 | 60.4 | 63.6 | 59.4 | 50.0 | |
SGF_MDNet+RGBT | IET Image Processinge'2023 | 73.8 | 56.3 | |||||||||
SiamCAF | Remote Sensing'2023 | 90.6 | 73.0 | 77.1 | 53.7 | |||||||
TEFNet | PRCV'2023 | 25.5 | 63.1 | 59.1 | 50.1 | |||||||
DAPF | Multimedia Tools and Applications'2023 | 1.16 | - | - | 86.0 | 62.0 | 71.1 | 51.6 | ||||
UDT-FF | Multimedia Tools and Applications'2023 | 71.9 | 79.3 | 65.1 | - | 56.1 | 41.4 | |||||
UMT | AIEA'2023 | 89.2 | 73.0 | - | 84.2 | 60.3 | 49.3 | 43.0 | 36.9 | |||
CSRDCF_RGBT | IEEE SENSORS JOURNAL'2023 | - | 70.7 | 51.4 | ||||||||
APFNet | AAAI'2022 | - | 0.905 | 0.739 | - | - | 0.827 | 0.579 | 0.500 | - | 0.362 | |
TAAT | arxiv'2022 | 39/RTX2080Ti | 0.858 | 0.696 | 0.710 | 0.486 | - | - | - | - | - | |
DMCNet | TNNLS'2022 | 2.38/RTX2080Ti | 0.909 | 0.733 | 0.797 | 0.555 | 0.839 | 0.593 | 0.490 | 0.431 | 0.355 | |
MFGNet | TMM'2022 | 3.37/Tesla P100 | 0.889 | 0.707 | 0.749 | 0.494 | 0.783 | 0.535 | ||||
HMFT | CVPR'2022 | 30/GTXTitan | 0.912 | 0.749 | 0.786 | 0.535 | 0.788 | 0.568 | 0.460 | 0.413 | 0.326 | |
ProTrack | ACMMM'2022 | - | - | - | - | 78.6 | 58.7 | 50.9 | 42.1 | |||
AGMINet | TIM'2022 | 8.8 | 91.7 | 73.4 | - | - | 84.0 | 59.2 | 48.8 | 42.9 | 34.3 | |
CMC2R | IET Image Processing'2022 | - | - | 73.2 | 52.6 | |||||||
DuSiamRT | The Visual Computer'2022 | 116 | 76.6 | 62.8 | - | - | 56.7 | 38.4 | ||||
SiamCSR | IGARSS'2022 | 140 | 88.2 | 70.9 | - | - | 75.4 | 53.2 | ||||
LRMWT | KBS'2022 | 24.6 | 91.1 | 75.3 | 80.6 | 59.2 | 82.5 | 61.6 | ||||
MIRNet | ICME'2022 | 90.9 | 74.4 | 81.6 | 58.9 | |||||||
MBAFNet | IEEE Sensors Journal'2022 | 15.2 | 91.6 | 76.7 | 80.1 | 58.5 | ||||||
RSF | Science China Information Sciences'2022 | 86.4 | 70.7 | 66.6 | 48.4 | |||||||
CF-LG | IVC'2022 | 32.29 | 94.7 | 65.5 | 71.5 | 49.0 | 71.7 | 49.3 | ||||
MFNet | IVC'2022 | 19 | 90.7 | 73.5 | 71.5 | 49.0 | 84.4 | 60.1 | 59.7 | 55.4 | 46.7 | |
RLTN | JEI'2022 | 1.06 | 89.3 | 73.8 | 77.1 | 55.5 | ||||||
TFNet | TCSVT'2022 | 20 | 88.6 | 72.9 | 77.7 | 52.9 | 80.6 | 56.0 | ||||
SCA_MMA | ELECTRONICS'2022 | 1.3 | 90.5 | 73.2 | 80.2 | 56.9 | ||||||
SiamMFF | Machine Vision and Applications'2022 | 85.8 | 71.1 | |||||||||
JMMAC | TIP'2021 | 4/RTX2080Ti | 90.2 | 73.2 | - | - | 79.0 | 57.3 | - | - | - | |
MANet++ | TIP'2021 | - | 90.1 | 72.3 | - | - | 80.0 | 55.4 | 46.7 | 40.4 | 31.4 | |
CBPNet | TMM'2021 | - | 88.5 | 71.6 | - | - | 79.4 | 54.1 | - | - | - | |
CEDiMP | Sensors'2021 | - | 88.6 | 73.1 | - | - | 80.8 | 56.1 | - | - | - | |
FANet | TIV'2021 | 19/RTX2080Ti | 89.1 | 72.8 | - | - | 78.7 | 55.3 | 44.1 | 38.4 | 30.9 | |
ADRNet | IJCV'2021 | 25/RTX2080Ti | 90.4 | 73.9 | - | - | 80.9 | 57.1 | - | - | - | |
M^5L | TIP'2021 | - | 0.896 | 0.710 | - | - | 0.795 | 0.542 | - | - | - | |
SiamCDA | TCSVT'2021 | - | 0.877 | 0.732 | - | - | 0.760 | 0.569 | - | - | - | |
EStaple | JCSC'2021 | 44/AMD3950 | - | - | - | 0.648 | 0.470 | - | - | - | ||
AFCF | TITS'2021 | 93.1 | 64.0 | 65.7 | 46.9 | 66.4 | 47.2 | - | - | - | ||
HDINet | IEEE Sensors Journal'2021 | 88.8 | 71.8 | 78.3 | 55.9 | - | - | - | ||||
NRCMR | TNNLS'2021 | 7.0 | 83.7 | 66.4 | 72.9 | 50.2 | - | - | - | |||
CMMP | Neurocomputing'2021 | 35.0 | 86.9 | 71.1 | 75.1 | 49.1 | - | - | - | |||
MaCNet | Sensors'2020 | - | 0.880 | 0.714 | - | - | 0.790 | 0.554 | 0.482 | 0.420 | 0.350 | |
CMPP | CVPR'2020 | 1.3/RTX2080Ti | 0.926 | 0.738 | - | - | 0.823 | 0.575 | - | - | - | |
CAT | ECCV'2020 | - | 0.889 | 0.717 | 0.792 | 0.533 | 0.804 | 0.561 | 0.450 | 0.395 | 0.314 | |
DSiamMFT | 2020 | 14.7/RTX1080Ti | - | - | 0.642 | 0.432 | - | - | - | - | - | |
LDUA-STRCF | JVCIR'2020 | 12.65 | - | - | 76.0 | 54.6 | 78.3 | 58.1 | - | - | - | |
MECF | ICMCCE'2020 | 11 | - | - | 69.0 | 50.2 | - | - | - | |||
mfDiMP | ICCVW'2019 | 28/GTXTitan | - | - | 0.786 | 0.555 | 0.785 | 0.559 | 0.448 | 0.395 | 0.343 | |
MANet | ICCVW'2019 | - | 0.894 | 0.724 | - | - | 0.777 | 0.539 | 0.457 | - | 0.330 | |
DAPNet | ACM MM'2019 | - | 0.882 | 0.707 | - | - | 0.766 | 0.537 | 0.431 | - | 0.314 | |
DAFNet | ICCVW'2019 | - | 0.891 | 0.712 | - | - | 0.796 | 0.544 | 0.448 | 0.390 | 0.311 | |
SiamFT | IEEE Access'2019 | 30/RTX1080Ti | 0.826 | 0.700 | - | - | 0.688 | 0.486 | - | - | - | |
CMCFT | Neurocomputing'2019 | 77.0 | 63.2 | 52.9 | 36.6 | - | - | - | ||||
LGMG | TCSVT'2019 | 7 | 82.9 | 65.5 | 71.1 | 46.8 | 0.688 | 0.486 | - | - | - | |
LTODA | Arxiv'2019 | 84.3 | 67.7 | 76.7 | 54.5 | - | - | - | ||||
fusionnet | NeuroComputing'2018 | - | 85.2 | 62.6 | - | - | - | - | - | - | - | |
CMR | ECCV'2018 | - | 82.7 | 64.3 | 69.4 | 46.3 | - | - | - | - | - | |
SCCF | PRCV'2018 | - | 85.0 | 68.1 | - | - | - | - | - | |||
LMDCN | CISP'2018 | - | 61.7 | 38.7 | - | - | - | |||||
TMGRMR | Signal Processing: Image Communication'2018 | 7 | 84.2 | 62.2 | - | - | - |
VTUAV | VOT-RGBT2019 | VOT-RGBT2020 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Methods | Venue | Speed | PR | NPR | SR | R | A | EAO | R | A | EAO |
TBSI-E | TPAMI'2024 | 58.3/3080Ti | 88.1 | 73.2 | |||||||
S2OTFormer | ACMTOMM'2024 | 40/3090Ti | 56.7 | 44.5 | |||||||
AINet | arxiv'2024 | 37.5/4090 | 88.0 | 75.3 | |||||||
CAFormer | Arxiv'2024 | 83.6/RTX3080Ti | 88.6 | 76.2 | |||||||
CKD | ACMMM'2024 | 96.4/4090 | 90.2 | 77.8 | |||||||
MMSTC | TIP'2024 | 83.9 | 67.7 | ||||||||
MELT | ACMTOMM'2024 | 20 | 68.3 | 55.6 | 83.2 | 65.2 | 50.8 | ||||
MIGTD | PR'2024 | 26.9 | 88.3 | - | 75.5 | - | - | - | - | - | - |
Proformer | TCSVT'2024 | 22 | 84.6 | - | 71.0 | - | - | - | - | - | - |
IPL | Arxiv'2024 | - | 87.5 | - | 75.6 | - | - | - | - | - | - |
MPT | TCSVT'2024 | - | 66.1 | - | 54.1 | 57.2 | 79.1 | 35.6 | - | - | - |
MPLKD | Arxiv'2024 | 81.8/RTX3090 | 80.2 | - | 67.4 | - | - | - | - | - | - |
QueryTrack | TIP'2024 | 27/RTX A6000 | 75.5 | - | 63.3 | - | - | - | - | - | - |
UStrack | IJCAI'2024 | 84.2 | 86.9 | 74.4 | |||||||
AFter | Arxiv'2024 | RTX 4090/23 | 84.9 | - | 72.5 | - | - | - | - | - | - |
CAFF | JSEE'2024 | - | - | - | - | 56.9 | 52.9 | 30.0 | - | - | - |
DBDFAN | Drones'2023 | 31.2 | 64.2 | - | 51.6 | - | - | - | - | - | - |
DFAT | INFFUS'2023 | 22/RTX2080Ti | - | - | - | 0.670 | 0.756 | 0.413 | 0.672 | 0.779 | 0.390 |
DTAT | JIPS'2023 | 61.3 | - | 51.2. | - | - | - | - | - | - | |
MACFT | Sensors'2023 | 31 | 80.1/td> | - | 66.8 | - | - | - | - | - | - |
LSAR | TCSVT'2023 | 8 | 42.7/td> | - | 36.3 | 81.1 | 61.6 | 40.0 | - | - | - |
CSMMA | Sensors Journal'2023 | 20 | - | - | - | 66.1 | 60.5 | 38.7 | - | - | - |
STRT | Applied Intelligence'2023 | 15/GTX1080Ti | 69.2 | - | 57.2 | - | - | - | - | - | - |
LCMIT | SCIENCE CHINA Information Sciences'2023 | -/td> | - | - | 71.6 | 62.5 | 38.1 | - | - | - | |
MMMPT | IPT'2023 | 73.1/td> | - | 60.2 | - | - | - | - | - | - | |
PLASSO-ADSPF | KBS'2023 | 63 | - | - | - | - | - | - | 81.2 | 67.0 | 49.9 |
SRCDCF | IPT'2023 | 53 | - | - | - | - | - | - | 72.0 | 61.7 | 37.0 |
SiamCAF | Remote Sensing'2023 | 67.0 | 54.1 | ||||||||
QAT | ACMMM'2023 | 22/ | 80.1 | - | 66.7 | - | - | - | - | - | - |
TEFNet | PRCV'2023 | 25.5 | 75.8 | 64.9 | |||||||
CSRDCF_RGBT | IEEE SENSORS JOURNAL'2023 | 65.3 | 56.1 | ||||||||
TAAT | arxiv'2022 | 39/RTX2080Ti | 0.696 | - | 0.560 | 0.643 | 0.735 | 0.416 | - | - | - |
HMFT | CVPR'2022 | 30/GTXTitan | 0.758 | - | 0.627 | 0.553 | 0.760 | 0.347 | - | - | - |
TFNet | TCSVT'2022 | 20 | 59.4 | 46.2 | 28.8 | ||||||
JMMAC | TIP'2021 | 4/RTX2080Ti | - | - | - | 0.665 | 0.821 | 0.483 | 0.662 | 0.818 | 0.420 |
MANet++ | TIP'2021 | - | - | - | - | 0.509 | 0.538 | 0.272 | - | - | - |
FANet | TIV'2021 | 19/RTX2080Ti | - | - | - | 0.472 | 0.508 | 0.247 | - | - | - |
ADRNet | IJCV'2021 | 25/RTX2080Ti | 0.622 | - | 0.466 | 0.622 | 0.766 | 0.396 | - | - | - |
SiamCDA | TCSVT'2021 | - | - | - | - | 0.682 | 0.757 | 0.424 | - | - | - |
MaCNet | Sensors'2020 | - | - | - | - | 0.545 | 0.591 | 0.305 | - | - | - |
mfDiMP | ICCVW'2019 | 28/GTXTitan | 0.673 | - | 0.554 | 0.602 | 0.804 | 0.388 | 0.638 | 0.793 | 0.380 |
MANet | ICCVW'2019 | - | 0.455 | 0.383 | 0.326 | 0.582 | 0.701 | 0.346 | - | - | - |
DAPNet | ACM MM'2019 | - | 0.431 | 0.383 | 0.314 | - | - | - | - | - | - |
DAFNet | ICCVW'2019 | - | 0.620 | - | 0.458 | - | - | - | - | - | - |
FSRPN | 2019 | - | 0.653 | - | 0.544 | - | - | 0.355 | - | - | - |
SiamFT | IEEE Access'2019 | 30/RTX1080Ti | - | - | - | 0.630 | 0.639 | 0.310 | - | - | - |
- AntiUAV 1st The first AntiUAV challenge is a multi-modal challenge. It was held in 2020. The website for the 1st AntiUAV is covered by the newest one. The winner is team xiaobaibai. One of its member is Tianyang Xu
- VOT-RGBT2019 The first competition in the RGBT tracking community. It was held in 2019. The winner is SiamDW.
- [VOT-RGBT2020] A competition in the RGBT tracking community. It was held in 2020. The winner is DFAT. One of its member is Zhangyong Tang
Questions
If you have any questions, please contact zhangyong_tang_jnu@163.com, and wechat: Tzy18861871359 is also welcomed.