Multi-Object Tracking Models
TraDeS
Introduced by Wu et al. in Track to Detect and Segment: An Online Multi-Object TrackerTradeS is an online joint detection and tracking model, coined as TRACK to DEtect and Segment, exploiting tracking clues to assist detection end-to-end. TraDeS infers object tracking offset by a cost volume, which is used to propagate previous object features for improving current object detection and segmentation.
Source: Track to Detect and Segment: An Online Multi-Object Tracker
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| 3D Multi-Object Tracking | 1 | 12.50% |
| Instance Segmentation | 1 | 12.50% |
| Multi-Object Tracking | 1 | 12.50% |
| Object Detection | 1 | 12.50% |
| Object Tracking | 1 | 12.50% |
| Online Multi-Object Tracking | 1 | 12.50% |
| Semantic Segmentation | 1 | 12.50% |
| Video Instance Segmentation | 1 | 12.50% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
