|
MCITrack-L384
|
Exploring Enhanced Contextual Information for Vid…
|
87.90
|
2024-12-15
|
|
|
SPMTrack-G
|
SPMTrack: Spatio-Temporal Parameter-Efficient Fin…
|
87.30
|
2025-03-24
|
|
|
SPMTrack-L
|
SPMTrack: Spatio-Temporal Parameter-Efficient Fin…
|
86.90
|
2025-03-24
|
|
|
MCITrack-B224
|
Exploring Enhanced Contextual Information for Vid…
|
86.30
|
2024-12-15
|
|
|
ARTrackV2-L
|
ARTrackV2: Prompting Autoregressive Tracker Where…
|
86.10
|
2023-12-28
|
|
|
MixViT-L(ConvMAE)
|
MixFormer: End-to-End Tracking with Iterative Mix…
|
86.10
|
2023-02-06
|
|
|
SPMTrack-B
|
SPMTrack: Spatio-Temporal Parameter-Efficient Fin…
|
86.10
|
2025-03-24
|
|
|
ODTrack-L
|
ODTrack: Online Dense Temporal Token Learning for…
|
86.10
|
2024-01-03
|
|
|
LoRAT-g-378
|
Tracking Meets LoRA: Faster Training, Larger Mode…
|
86.00
|
2024-03-08
|
|
|
LoRAT-L-378
|
Tracking Meets LoRA: Faster Training, Larger Mode…
|
85.60
|
2024-03-08
|
|
|
SeqTrack-L384
|
Unified Sequence-to-Sequence Learning for Single-…
|
85.50
|
2023-04-27
|
|
|
UNINEXT-H
|
Universal Instance Perception as Object Discovery…
|
85.40
|
2023-03-12
|
|
|
SAMURAI-L
|
SAMURAI: Adapting Segment Anything Model for Zero…
|
85.30
|
2024-11-18
|
|
|
ODTrack-B
|
ODTrack: Online Dense Temporal Token Learning for…
|
85.10
|
2024-01-03
|
|
|
TATrack-L
|
Target-Aware Tracking with Long-term Context Atte…
|
85.00
|
2023-02-27
|
|
|
HIPTrack
|
HIPTrack: Visual Tracking with Historical Prompts
|
84.50
|
2023-11-03
|
|
|
SwinTrack-B-384
|
SwinTrack: A Simple and Strong Baseline for Trans…
|
84.00
|
2021-12-02
|
|
|
MixFormer-L
|
MixFormer: End-to-End Tracking with Iterative Mix…
|
83.90
|
2022-03-21
|
|
|
OSTrack-384
|
Joint Feature Learning and Relation Modeling for …
|
83.90
|
2022-03-22
|
|
|
NeighborTrack-OSTrack
|
NeighborTrack: Improving Single Object Tracking b…
|
83.79
|
2022-11-12
|
|
|
MITS
|
Integrating Boxes and Masks: A Multi-Object Frame…
|
83.40
|
2023-08-25
|
|
|
Unicorn
|
Towards Grand Unification of Object Tracking
|
83.00
|
2022-07-14
|
|
|
SLT-TransT
|
Towards Sequence-Level Training for Visual Tracki…
|
82.80
|
2022-08-11
|
|
|
AiATrack
|
AiATrack: Attention in Attention for Transformer …
|
82.70
|
2022-07-20
|
|
|
STARK
|
Learning Spatio-Temporal Transformer for Visual T…
|
82.00
|
2021-03-31
|
|
|
Siam R-CNN
|
Siam R-CNN: Visual Tracking by Re-Detection
|
81.20
|
2019-11-28
|
|
|
TREG
|
Target Transformed Regression for Accurate Tracki…
|
78.50
|
2021-04-01
|
|
|
SiamBAN-ACM
|
Learning to Fuse Asymmetric Feature Maps in Siame…
|
75.30
|
2020-12-04
|
|
|
SiamFC++
|
SiamFC++: Towards Robust and Accurate Visual Trac…
|
74.50
|
2019-11-14
|
|
|
DiMP-50
|
Learning Discriminative Model Prediction for Trac…
|
74.00
|
2019-04-15
|
|
|
ATOM
|
ATOM: Accurate Tracking by Overlap Maximization
|
70.34
|
2018-11-19
|
|
|
SiamRPN++
|
SiamRPN++: Evolution of Siamese Visual Tracking w…
|
70.00
|
2018-12-31
|
|
|
ATOM(Resnet18)+EnergyRegression
|
Energy-Based Models for Deep Probabilistic Regres…
|
69.70
|
2019-09-26
|
|
|
GFS-DCF
|
Joint Group Feature Selection and Discriminative …
|
60.90
|
2019-07-30
|
|
|
ECO
|
ECO: Efficient Convolution Operators for Tracking
|
56.13
|
2016-11-28
|
|
|
STAPLE_CA
|
Staple: Complementary Learners for Real-Time Trac…
|
53.59
|
2015-12-04
|
|
|
DropTrack
|
DropMAE: Masked Autoencoders with Spatial-Attenti…
|
0.84
|
2023-04-02
|
|
|
DiMP-NCE+
|
How to Train Your Energy-Based Model for Regressi…
|
0.79
|
2020-05-04
|
|