| SAMURAI-L |
- AUC
- 61.0
- Normalized Precision
- 73.9
- Precision
- 72.2
|
SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory 2024-11-18 |
코드 1 |
| DAM4SAM |
- AUC
- 60.9
|
A Distractor-Aware Memory for Visual Object Tracking with SAM2 2024-11-26 |
코드 1 |
| LoRAT-L-378 |
- AUC
- 56.6
- Normalized Precision
- 69.0
- Precision
- 65.1
|
Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance 2024-03-08 |
코드 1 |
| LoRAT-g-378 |
- AUC
- 56.5
- Normalized Precision
- 69.0
- Precision
- 64.9
|
Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance 2024-03-08 |
코드 1 |
| UNINEXT-H |
- AUC
- 56.2
- Normalized Precision
- 63.8
- Precision
- 63.8
|
Universal Instance Perception as Object Discovery and Retrieval 2023-03-12 |
코드 1 |
| MCITrack-L384 |
- AUC
- 55.7
- Normalized Precision
- 66.5
- Precision
- 62.9
|
Exploring Enhanced Contextual Information for Video-Level Object Tracking 2024-12-15 |
코드 1 |
| RTracker-L |
- AUC
- 54.9
- Normalized Precision
- 65.5
- Precision
- 62.7
|
RTracker: Recoverable Tracking via PN Tree Structured Memory 2024-03-28 |
코드 1 |
| MCITrack-B224 |
- AUC
- 54.6
- Normalized Precision
- 65.7
- Precision
- 62.1
|
Exploring Enhanced Contextual Information for Video-Level Object Tracking 2024-12-15 |
코드 1 |
| ODTrack-L |
- AUC
- 53.9
|
ODTrack: Online Dense Temporal Token Learning for Visual Tracking 2024-01-03 |
코드 1 |
| ARTrackV2-L |
- AUC
- 53.4
- Normalized Precision
- 63.7
- Precision
- 60.2
|
ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe 2023-12-28 |
코드 1 |
| HIPTrack |
- AUC
- 53.0
- Normalized Precision
- 64.3
- Precision
- 60.6
|
HIPTrack: Visual Tracking with Historical Prompts 2023-11-03 |
코드 1 |
| ARTrack-L |
- AUC
- 52.8
- Normalized Precision
- 62.9
- Precision
- 59.7
|
Autoregressive Visual Tracking 2023-01-01 |
코드 1 |
| DropTrack |
- AUC
- 52.7
- Precision
- 60.2
|
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks 2023-04-02 |
코드 1 |
| ODTrack-B |
- AUC
- 52.4
|
ODTrack: Online Dense Temporal Token Learning for Visual Tracking 2024-01-03 |
코드 1 |
| SeqTrack-L384 |
- AUC
- 50.7
- Normalized Precision
- 61.6
- Precision
- 57.5
|
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking 2023-04-27 |
코드 1 |
| OSTrack |
- AUC
- 50.6
- Normalized Precision
- 61.3
- Precision
- 57.6
|
Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework 2022-03-22 |
코드 1 |
| KeepTrack |
- AUC
- 48.2
|
Learning Target Candidate Association to Keep Track of What Not to Track 2021-03-30 |
코드 1 |
| LTMU |
- AUC
- 41.4
- Normalized Precision
- 49.9
- Precision
- 47.3
|
High-Performance Long-Term Tracking with Meta-Updater 2020-04-01 |
코드 1 · 코드 2 |