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
SoccerNet 2022 Challenges Results
The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team.
SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos
SilvioGiancola/SoccerNetv2-DevKit
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In this work, we propose SoccerNet-v2, a novel large-scale corpus of manual annotations for the SoccerNet video dataset, along with open challenges to encourage more research in soccer understanding and broadcast production.
SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos
SilvioGiancola/SoccerNet-code
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A total of 6, 637 temporal annotations are automatically parsed from online match reports at a one minute resolution for three main classes of events (Goal, Yellow/Red Card, and Substitution).
Feature Combination Meets Attention: Baidu Soccer Embeddings and Transformer based Temporal Detection
With rapidly evolving internet technologies and emerging tools, sports related videos generated online are increasing at an unprecedentedly fast pace.
Spotting Temporally Precise, Fine-Grained Events in Video
We introduce the task of spotting temporally precise, fine-grained events in video (detecting the precise moment in time events occur).
SoccerNet 2023 Challenges Results
lRomul/ball-action-spotting
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More information on the tasks, challenges, and leaderboards are available on https://www. soccer-net. org.
Action Search: Spotting Actions in Videos and Its Application to Temporal Action Localization
To address this need, we propose the new problem of action spotting in video, which we define as finding a specific action in a video while observing a small portion of that video.
A Context-Aware Loss Function for Action Spotting in Soccer Videos
cioppaanthony/context-aware-loss
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CVPR 2020
We benchmark our loss on a large dataset of soccer videos, SoccerNet, and achieve an improvement of 12. 8% over the baseline.
Temporally-Aware Feature Pooling for Action Spotting in Soccer Broadcasts
SilvioGiancola/SoccerNetv2-DevKit
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In this paper, we focus our analysis on action spotting in soccer broadcast, which consists in temporally localizing the main actions in a soccer game.
Temporally Precise Action Spotting in Soccer Videos Using Dense Detection Anchors
yahoo/spivak
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We present a model for temporally precise action spotting in videos, which uses a dense set of detection anchors, predicting a detection confidence and corresponding fine-grained temporal displacement for each anchor.
