Unverified50% confidenceFactExact time
End-to-end learning integrates multiple stages such as detection, feature extraction, fusion and matching into a jointly optimizable framework, reducing error accumulation among hand-designed modules, but it requires large-scale annotated video data and high computational resources.
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Long-term
Relevance
10/30/2026
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