Research map / Detection and segmentation / Tracking
MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Replace pointwise neighborhood search with grid-cell aggregation | MeanShift clustering · Phone Accelerometer | runtime: 29m 59s vs >24h | Helped |
| Replace pointwise neighborhood search with grid-cell aggregation | MeanShift clustering · Skin | ARI: 0.3255 -> 0.3270 | Helped |
| Replace pointwise neighborhood search with grid-cell aggregation | MeanShift clustering · Skin | AMI: 0.3975 -> 0.4240 | Helped |
| Replace pointwise neighborhood search with grid-cell aggregation | MeanShift clustering · Iris | ARI: 0.6832 -> 0.5681 | Hurt |
| Replace pointwise neighborhood search with grid-cell aggregation | MeanShift clustering · Iris | AMI: 0.6970 -> 0.7316 | Helped |
| Use grid-based MeanShift++ rather than standard MeanShift | Image segmentation · BSDS500 | ARI and FM | Mixed |
| Use grid-based MeanShift++ rather than standard MeanShift | Image segmentation · Image segmentation examples | runtime: up to 10,000x | Helped |
Closest papers by meaning
- GridShift: A Faster Mode-Seeking Algorithm for Image Segmentation and Object Tracking (CVPR 2022 · similarity 0.95)
- Quickshift++: Provably Good Initializations for Sample-Based Mean Shift (ICML 2018 · similarity 0.85)
- UEQMS: UMAP Embedded Quick Mean Shift Algorithm for High Dimensional Clustering (AAAI 2023 · similarity 0.84)
- TANGO: Clustering with Typicality-Aware Nonlocal Mode-Seeking and Graph-Cut Optimization (ICML 2025 · similarity 0.83)
- LiVOS: Light Video Object Segmentation with Gated Linear Matching (CVPR 2025 · similarity 0.82)
- SasWOT: Real-Time Semantic Segmentation Architecture Search WithOut Training (AAAI 2024 · similarity 0.81)
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