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  3. 飞桨学习赛:乒乓球时序动作定位

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Baidu AI StudioLLMBeginnerRegistration unverifiedRegistration unverified

飞桨学习赛:乒乓球时序动作定位

适合已经会用 PaddlePaddle 2.0+ 训练端到端深度学习模型,并具备视频时序建模或动作定位经验的个人开发者。参赛者应能处理以 pkl 保存的连续帧 ppTSM 特征,而不是直接从原始视频训练。

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Suggested next step

Decide whether this contest fits your current stage before you sink time into the leaderboard.

Beginner score

78/100

Higher means a safer real starting point for your current stage.

Learning value

72/100

Measures whether the competition teaches habits you can transfer elsewhere.

Estimated effort

4-12 hours

Use this to check whether the task fits your current time budget.

Metric

Official scoring is published on the Ba…

If you cannot explain this metric clearly yet, you probably still need a bit of prep.

Who this competition fits

适合已经会用 PaddlePaddle 2.0+ 训练端到端深度学习模型,并具备视频时序建模或动作定位经验的个人开发者。参赛者应能处理以 pkl 保存的连续帧 ppTSM 特征,而不是直接从原始视频训练。

Official blurb (unedited)
时序动作定位(即提案生成)是计算机视觉和视频分析领域极具挑战性的任务之一,本赛题要求参赛选手基于给定的乒乓球转播画面动作数据集,定位运动员的挥拍动作(即时序动作提案生成)。 Official tags: 时序动作定位. Sign-ups: 311.

What this competition gives you

There is a baseline you can run as-is — starting from it is usually far faster than building from scratch.

BaselineForkable Paddle baseline project
TutorialDownloadable baseline video
BaselineOpen-source Paddle temporal action localization solution
Data

912 video feature files with training and test splits

Reference paperBMN temporal action proposal paper
Reference paperTSM efficient video understanding paper

Prep before joining

If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.

PaddlePaddle 2.0+

时序动作定位

视频特征建模

ppTSM特征处理

JSON/ZIP结果文件生成

AUC与时序提案评估

Where the real difficulty shows up

The real friction is usually not library usage. It is validation, time allocation, and task framing.

难点在于从连续帧特征中定位极短、细微的挥拍片段:部分动作不到 1 秒,且小幅挥拍与非挥拍动作可能只在少数帧上有差异。还必须按规定生成 submission.json 并压缩为 submission.zip,且不能使用外部数据。

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Your decision

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Status
Registration unverified
Registration
Registration unverified
Eligibility
Needs official confirmation
Reward
奖励积分
Compute
Free GPU OK
Official metric
Official scoring is published on the Baidu AI Studio competition page.
Verification
Source page verified

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Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win — report anything that looks wrong.

Source page verifiedMetric confirmedReviewed
Published on this site
Jul 21, 2026

Official metric is not published on the Baidu AI Studio competition listing; verify scoring on the competition page.