HyperAIHyperAI超神经
首页资讯论文教程数据集百科SOTALLM 模型天梯GPU 天梯顶会
全站搜索
关于
中文
HyperAIHyperAI超神经
  1. 首页
  2. SOTA
  3. 弱监督动作定位
  4. Weakly Supervised Action Localization On Gtea

Weakly Supervised Action Localization On Gtea

评估指标

mAP@0.1:0.7
mAP@0.5

评测结果

各个模型在此基准测试上的表现结果

模型名称
mAP@0.1:0.7
mAP@0.5
Paper TitleRepository
AU-Action76.966.3Is Weakly-supervised Action Segmentation Ready For Human-Robot Interaction? No, Let's Improve It With Action-union Learning-
HR-Pro47.337.3HR-Pro: Point-supervised Temporal Action Localization via Hierarchical Reliability Propagation
SF-Net31.019.3SF-Net: Single-Frame Supervision for Temporal Action Localization
LACP43.533.9Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization
Li et al.36.428.8Temporal Action Segmentation from Timestamp Supervision
Ju et al.33.721.9Point-Level Temporal Action Localization: Bridging Fully-supervised Proposals to Weakly-supervised Losses-
0 of 6 row(s) selected.
HyperAI

学习、理解、实践,与社区一起构建人工智能的未来

中文

关于

关于我们数据集帮助

产品

资讯教程数据集百科

链接

TVM 中文Apache TVMOpenBayes

© HyperAI超神经

津ICP备17010941号-1京公网安备11010502038810号京公网安备11010502038810号
TwitterBilibili