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SOTA
动作检测
Action Detection On Multi Thumos
Action Detection On Multi Thumos
评估指标
mAP
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
mAP
Paper Title
MLAD
51.5
Modeling Multi-Label Action Dependencies for Temporal Action Localization
CTRN
51.2
CTRN: Class-Temporal Relational Network for Action Detection
PDAN
47.6
PDAN: Pyramid Dilated Attention Network for Action Detection
TGM
46.4
Temporal Gaussian Mixture Layer for Videos
MS-TCT (RGB only)
43.1
MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection
I3D + our super-event
36.4
Learning Latent Super-Events to Detect Multiple Activities in Videos
Two-stream + LSTM
28.1
Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos
Two-stream
27.6
Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos
0 of 8 row(s) selected.
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HyperAI
HyperAI超神经
首页
算力平台
文档
资讯
论文
教程
数据集
百科
SOTA
LLM 模型天梯
GPU 天梯
顶会
开源项目
全站搜索
关于
服务条款
隐私政策
中文
HyperAI
HyperAI超神经
Toggle Sidebar
全站搜索…
⌘
K
Command Palette
Search for a command to run...
算力平台
首页
SOTA
动作检测
Action Detection On Multi Thumos
Action Detection On Multi Thumos
评估指标
mAP
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
mAP
Paper Title
MLAD
51.5
Modeling Multi-Label Action Dependencies for Temporal Action Localization
CTRN
51.2
CTRN: Class-Temporal Relational Network for Action Detection
PDAN
47.6
PDAN: Pyramid Dilated Attention Network for Action Detection
TGM
46.4
Temporal Gaussian Mixture Layer for Videos
MS-TCT (RGB only)
43.1
MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection
I3D + our super-event
36.4
Learning Latent Super-Events to Detect Multiple Activities in Videos
Two-stream + LSTM
28.1
Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos
Two-stream
27.6
Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos
0 of 8 row(s) selected.
Previous
Next
Action Detection On Multi Thumos | SOTA | HyperAI超神经