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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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2 results for “Tracking-Any-Point”

BootsTAP: Bootstrapped Training for Tracking-Any-Pointcs.CV

BootsTAP uses real-world data to improve TAP tracking performance.

problem Lack of large-scale groundtruth training data for TAP.

method Bootstrapped training with a self-supervised student-teacher setup.

result State-of-the-art performance on TAP-Vid benchmarks.

Tracking-Any-Point self-supervised learning real-world data bootstrapped training video analysis

2024-02-01abs ↗pdf ↗

TAP-Vid: A Benchmark for Tracking Any Point in a Videocs.CV

Paper introduces TAP-Vid, a benchmark for tracking any point in videos.

problem Tackles the problem of tracking arbitrary physical points on surfaces over longer video clips.

method Formalizes the problem as TAP, introduces TAP-Vid benchmark, uses crowdsourced pipeline with optical flow estimates, proposes TAP-Net model.

result TAP-Net outperforms all prior methods on TAP-Vid benchmark when trained on synthetic data.

motion understanding video tracking point tracking benchmark optical flow

2022-11-07abs ↗pdf ↗