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SOTA
视频问答
Video Question Answering On Sutd Trafficqa
Video Question Answering On Sutd Trafficqa
评估指标
1/4
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
1/4
Paper Title
CFMMC-Align
50.2
-
Tem-adapter
46.0
Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer
Eclipse
37.05
SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events
HCRN
36.49
Hierarchical Conditional Relation Networks for Video Question Answering
TVQA
35.16
TVQA: Localized, Compositional Video Question Answering
VIS+LST
29.91
Exploring Models and Data for Image Question Answering
0 of 6 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
视频问答
Video Question Answering On Sutd Trafficqa
Video Question Answering On Sutd Trafficqa
评估指标
1/4
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
1/4
Paper Title
CFMMC-Align
50.2
-
Tem-adapter
46.0
Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer
Eclipse
37.05
SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events
HCRN
36.49
Hierarchical Conditional Relation Networks for Video Question Answering
TVQA
35.16
TVQA: Localized, Compositional Video Question Answering
VIS+LST
29.91
Exploring Models and Data for Image Question Answering
0 of 6 row(s) selected.
Previous
Next
Video Question Answering On Sutd Trafficqa | SOTA | HyperAI超神经