Action Spotting
16 papers with code • 2 benchmarks • 3 datasets
Benchmarks
These leaderboards are used to track progress in Action Spotting
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Libraries
Use these libraries to find Action Spotting models and implementations
SoccerNet-v2
GolfDB
Most implemented papers
Action Spotting using Dense Detection Anchors Revisited: Submission to the SoccerNet Challenge 2022
yahoo/spivak
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Our submission was based on a recently proposed method which focuses on increasing temporal precision via a densely sampled set of detection anchors.
A Graph-Based Method for Soccer Action Spotting Using Unsupervised Player Classification
ipcv/soccer_action_spotting
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Action spotting in soccer videos is the task of identifying the specific time when a certain key action of the game occurs.
A Boosted Model Ensembling Approach to Ball Action Spotting in Videos: The Runner-Up Solution to CVPR'23 SoccerNet Challenge
We first generated several variants of the E2E-Spot model, resulting in a candidate model set.
COMEDIAN: Self-Supervised Learning and Knowledge Distillation for Action Spotting using Transformers
We present COMEDIAN, a novel pipeline to initialize spatiotemporal transformers for action spotting, which involves self-supervised learning and knowledge distillation.
ASTRA: An Action Spotting TRAnsformer for Soccer Videos
arturxe2/astra
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In this paper, we introduce ASTRA, a Transformer-based model designed for the task of Action Spotting in soccer matches.
Unifying Global and Local Scene Entities Modelling for Precise Action Spotting
fsoft-aic/unifying-global-local-feature
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However, these approaches tend to overlook the nuances of the scene and struggle with detecting actions that occupy a small portion of the frame.
