You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: README-zh.md
+8-3Lines changed: 8 additions & 3 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -68,6 +68,11 @@ Multiple Object Tracking in Deep Learning Approaches:A Survey [[paper](https://w
68
68
<aid="markdown-算法论文"name="算法论文"></a>
69
69
## 算法论文
70
70
71
+
<aid="markdown-2024"name="2024"></a>
72
+
### **2024**
73
+
74
+
**AM-SORT**: AM-SORT: Adaptable Motion Predictor with Historical Trajectory Embedding for Multi-Object Tracking [[paper](https://arxiv.org/abs/2401.13950)]
75
+
71
76
<aid="markdown-2023"name="2023"></a>
72
77
### **2023**
73
78
@@ -105,7 +110,7 @@ Multiple Object Tracking in Deep Learning Approaches:A Survey [[paper](https://w
105
110
106
111
**GTR**: Global Tracking Transformers [[code](https://github.com/xingyizhou/GTR)][[paper](https://arxiv.org/pdf/2203.13250.pdf)]**CVPR 2022**
107
112
108
-
**StrongSORT**: StrongSORT: Make DeepSORT Great Again [[code](https://github.com/dyhBUPT/StrongSORT)][[paper](https://arxiv.org/pdf/2202.13514.pdf)]
113
+
**StrongSORT**: StrongSORT: Make DeepSORT Great Again [[code](https://github.com/dyhBUPT/StrongSORT)][[paper](https://arxiv.org/pdf/2202.13514.pdf)]**TMM 2023**
109
114
110
115
**MAA**: Modelling Ambiguous Assignments for Multi-Person Tracking in Crowds [code][[paper](https://openaccess.thecvf.com/content/WACV2022W/HADCV/papers/Stadler_Modelling_Ambiguous_Assignments_for_Multi-Person_Tracking_in_Crowds_WACVW_2022_paper.pdf)]
111
116
@@ -114,7 +119,7 @@ Multiple Object Tracking in Deep Learning Approaches:A Survey [[paper](https://w
114
119
<aid="markdown-2021"name="2021"></a>
115
120
### **2021**
116
121
117
-
**ByteTrack:** ByteTrack: Multi-Object Tracking by Associating Every Detection Box [[code](https://github.com/ifzhang/ByteTrack)][[paper](https://arxiv.org/pdf/2110.06864.pdf)]**new SOTA**
122
+
**ByteTrack:** ByteTrack: Multi-Object Tracking by Associating Every Detection Box [[code](https://github.com/ifzhang/ByteTrack)][[paper](https://arxiv.org/pdf/2110.06864.pdf)]**ECCV 2022**
118
123
119
124
**PCAN** Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation [[code](https://github.com/SysCV/pcan)][[paper](https://papers.nips.cc/paper/2021/file/093f65e080a295f8076b1c5722a46aa2-Paper.pdf)]**NeurIPS2021**
120
125
@@ -132,7 +137,7 @@ Multiple Object Tracking in Deep Learning Approaches:A Survey [[paper](https://w
132
137
133
138
**RelationTrack**: RelationTrack: Relation-aware Multiple Object Tracking with Decoupled Representation [[code]][[paper](https://arxiv.org/pdf/2105.04322.pdf)]
134
139
135
-
**MOTR**: MOTR: End-to-End Multiple-Object Tracking with TRansformer [[code](https://github.com/megvii-model/MOTR)][[paper](https://arxiv.org/pdf/2105.03247.pdf)]
140
+
**MOTR**: MOTR: End-to-End Multiple-Object Tracking with TRansformer [[code](https://github.com/megvii-model/MOTR)][[paper](https://arxiv.org/pdf/2105.03247.pdf)]**ECCV 2022**
136
141
137
142
**OMC**: One More Check: Making "Fake Background" Be Tracked Again [[code](https://github.com/JudasDie/SOTS)][[paper](https://arxiv.org/pdf/2104.09441.pdf)]**AAAI2022**
0 commit comments