Research map / Learning theory and algorithms / Kernels and regression theory
Kernel Cross-Correlator
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use KCC instead of Staple | visual tracking · OTB 51 sequences (OPE) | AUC: 0.581 -> 0.600 | Helped |
| Use KCC instead of DTW | human activity recognition · WARD | accuracy: 78.8% -> 90.7% | Helped |
| Use KCC instead of DTW | human activity recognition · WARD | average running time: 156.9μs -> 116.4μs | Helped |
Closest papers by meaning
- High-Speed Tracking With Multi-Kernel Correlation Filters (CVPR 2018 · similarity 0.86)
- Band-Limited Gaussian Processes: The Sinc Kernel (NeurIPS 2019 · similarity 0.81)
- Fast Fourier Convolution (NeurIPS 2020 · similarity 0.81)
- End-To-End Representation Learning for Correlation Filter Based Tracking (CVPR 2017 · similarity 0.81)
- Cross-modulated Attention Transformer for RGBT Tracking (AAAI 2025 · similarity 0.80)
- CrossKD: Cross-Head Knowledge Distillation for Object Detection (CVPR 2024 · similarity 0.79)
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