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8 | 8 | <!-- TOC --> |
9 | 9 | - [Review papers](#review-papers) |
10 | 10 | - [Algorithm papers](#algorithm-papers) |
| 11 | + - [**2023**](#2023) |
11 | 12 | - [**2022**](#2022) |
12 | 13 | - [**2021**](#2021) |
13 | 14 | - [**2020**](#2020) |
@@ -47,6 +48,12 @@ Multiple Object Tracking in Deep Learning Approaches:A Survey [[paper](https://w |
47 | 48 | <a id="markdown-algorithm-papers" name="algorithm-papers"></a> |
48 | 49 | ## Algorithm papers |
49 | 50 |
|
| 51 | +<a id="markdown-2023" name="2023"></a> |
| 52 | +### **2023** |
| 53 | + |
| 54 | +**C-BIoU**: Hard to Track Objects with Irregular Motions and Similar Appearances? Make It Easier by Buffering the Matching Space (2nd-place solutions in the CVPR’22 SoccerNet MOT and ECCV’22 |
| 55 | +MOTComplex DanceTrack challenges)[[paper](https://arxiv.org/pdf/2211.14317.pdf)] **WACV 2023** |
| 56 | + |
50 | 57 | <a id="markdown-2022" name="2022"></a> |
51 | 58 | ### **2022** |
52 | 59 |
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@@ -129,6 +136,8 @@ Simple Cues Lead to a Strong Multi-Object Tracker [[code]()] [[paper](https://ar |
129 | 136 | <a id="markdown-2020" name="2020"></a> |
130 | 137 | ### **2020** |
131 | 138 |
|
| 139 | +**ReMOTS**: ReMOTS: Self-Supervised Refining Multi-Object Tracking and Segmentation (1st-place solution for CVPR 2020 MOTS Challenge)[[paper](https://arxiv.org/pdf/2007.03200.pdf)] |
| 140 | + |
132 | 141 | **TransTrack**: TransTrack: Multiple-Object Tracking with Transformer [[code](https://github.com/PeizeSun/TransTrack)] [[paper](https://arxiv.org/pdf/2012.15460.pdf)] |
133 | 142 |
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134 | 143 | **TPAGT**: Tracklets Predicting Based Adaptive Graph Tracking [[paper](https://arxiv.org/pdf/2010.09015v3.pdf)] **original FGAGT** |
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