WACV

Generalizing Sports Feedback Generation by Watching Competitions and Reading Books: A Rock Climbing Case Study

通过观看比赛和阅读书籍来推广体育反馈生成：攀岩案例研究

Arushi Rai, Adriana Kovashka

AI总结 本文通过结合观看比赛和阅读书籍的方法，利用免费网络数据和新指标提升运动反馈生成的泛化能力。

Comments to appear WACV 2026

SynSacc: A Blender-to-V2E Pipeline for Synthetic Neuromorphic Eye-Movement Data and Sim-to-Real Spiking Model Training

SynSacc: 一个从Blender到V2E的管道，用于合成神经形态眼动数据和仿真到现实的尖峰模型训练

Khadija Iddrisu, Waseem Shariff, Suzanne Little, Noel OConnor

机构 * Dublin City University（都柏林城市大学） ； University of Galway（Galway大学） 纠错

AI总结 SynSacc利用Blender生成合成数据，通过SNNs训练实现对眼动的高效分类和仿真到现实的尖峰模型训练。

Comments Accepted to the 2nd Workshop on "Event-based Vision in the Era of Generative AI - Transforming Perception and Visual Innovation, IEEE Winter Conference on Applications of Computer Vision (WACV 2026)

"ScatSpotter" -- A Dog Poop Detection Dataset

ScatSpotter——一个狗粪便检测数据集

Jon Crall

机构 * Kitware 纠错

AI总结 ScatSpotter数据集旨在通过标注狗粪便的多边形图像，研究小型伪装户外废弃物的检测与分割技术，展示了调优DINO模型在该任务中的最佳性能。

Comments Dataset paper, Accepted to the International Workshop on Smart Waste Monitoring (WasteVision) at WACV 2026