Action Spotting
14 papers with code • 2 benchmarks • 3 datasets
Libraries
Use these libraries to find Action Spotting models and implementationsLatest papers
SoccerNet 2023 Challenges Results
More information on the tasks, challenges, and leaderboards are available on https://www. soccer-net. org.
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.
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.
A Graph-Based Method for Soccer Action Spotting Using Unsupervised Player Classification
Action spotting in soccer videos is the task of identifying the specific time when a certain key action of the game occurs.
SoccerNet 2022 Challenges Results
The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team.
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).
Action Spotting using Dense Detection Anchors Revisited: Submission to the SoccerNet Challenge 2022
Our submission was based on a recently proposed method which focuses on increasing temporal precision via a densely sampled set of detection anchors.
Temporally Precise Action Spotting in Soccer Videos Using Dense Detection Anchors
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.
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.
Temporally-Aware Feature Pooling for Action Spotting in Soccer Broadcasts
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.