Hierarchical GRU with Input-Conditioned Slot Queries for Ball Action Anticipation

Parthsarthi Rawat

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arXiv · 2606.14730

Hierarchical GRU with Input-Conditioned Slot Queries for Ball Action Anticipation

Parthsarthi Rawat

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Abstract

We present a hierarchical model for ball action anticipation in football broadcast video. Given a 30-second observation window, the system predicts actions occurring in the subsequent 5-second window across 10 classes. A shared local Transformer encodes clip-level features within each 5-second sub-window; a GRU then aggregates temporal context across all sub-windows; finally, a Transformer decoder with K input-conditioned event slots decodes the anticipation target via three decoupled heads (objectness, class, temporal offset). We introduce frequency-reweighted Hungarian matching that systematically favours rare action classes, and Gaussian soft targets for temporal bin supervision. On the SoccerNet Ball Action Anticipation benchmark, our method achieves 17.91% mAP on the test server.

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Parthsarthi Rawat. 2026-06-02. Hierarchical GRU with Input-Conditioned Slot Queries for Ball Action Anticipation. https://arxiv.org/abs/2606.14730

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