HyperAI
HyperAI
Home
Console
Docs
News
Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
Terms of Service
Privacy Policy
English
HyperAI
HyperAI
Toggle Sidebar
Search the site…
⌘
K
Command Palette
Search for a command to run...
Console
Home
SOTA
Temporal Sentence Grounding
Temporal Sentence Grounding On Charades Sta
Temporal Sentence Grounding On Charades Sta
Metrics
[email protected]
[email protected]
[email protected]
[email protected]
Results
Performance results of various models on this benchmark
Columns
Model Name
[email protected]
[email protected]
[email protected]
[email protected]
Paper Title
AdaFocus (Full, MViT-Charades-Pretrain-feature, MMN model)
62.4
38.6
89.4
66.4
Towards Weakly Supervised End-to-end Learning for Long-video Action Recognition
AdaFocus (Full, I3D-Charades-Pretrain-feature, MMN model)
56.7
35.6
87.9
65.0
Towards Weakly Supervised End-to-end Learning for Long-video Action Recognition
MMN (Full, MViT-K400-Pretrain-feature, evaluated by AdaFocus)
55.2
32.2
88.3
62.7
Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding
AdaFocus (Weak, MViT-Charades-Pretrain-feature, CPL model)
51.7
23.2
85.2
52.6
Towards Weakly Supervised End-to-end Learning for Long-video Action Recognition
AdaFocus (Semi-weak, MViT-Charades-Pretrain-feature, D3G model)
50.1
21.8
86.1
54.6
Towards Weakly Supervised End-to-end Learning for Long-video Action Recognition
MMN (Full, I3D-K400-Pretrain-feature, evaluated by AdaFocus)
49.4
29.8
85.8
60.5
Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding
AdaFocus (Weak, I3D-Charades-Pretrain-feature, CPL model)
49.1
22.4
84.2
51.8
Towards Weakly Supervised End-to-end Learning for Long-video Action Recognition
CPL (Weak, MViT-K400-Pretrain-feature, evaluated by AdaFocus)
47.8
21.8
84.6
50.4
Weakly Supervised Temporal Sentence Grounding With Gaussian-Based Contrastive Proposal Learning
AdaFocus (Semi-weak, I3D-Charades-Pretrain-feature, D3G model)
46.9
21.1
79.3
49.2
Towards Weakly Supervised End-to-end Learning for Long-video Action Recognition
D3G (Semi-weak, MViT-K400-Pretrain-feature, evaluated by AdaFocus)
46.0
20.2
83.1
50.2
D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation
D3G (Semi-weak, I3D-K400-Pretrain-feature, evaluated by AdaFocus)
41.7
18.8
78.2
48.0
D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation
CPL (Weak, I3D-K400-Pretrain-feature, evaluated by AdaFocus)
39.6
18.6
81.4
49.2
Weakly Supervised Temporal Sentence Grounding With Gaussian-Based Contrastive Proposal Learning
0 of 12 row(s) selected.
Previous
Next
HyperAI
HyperAI
Home
Console
Docs
News
Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
Terms of Service
Privacy Policy
English
HyperAI
HyperAI
Toggle Sidebar
Search the site…
⌘
K
Command Palette
Search for a command to run...
Console
Home
SOTA
Temporal Sentence Grounding
Temporal Sentence Grounding On Charades Sta
Temporal Sentence Grounding On Charades Sta
Metrics
[email protected]
[email protected]
[email protected]
[email protected]
Results
Performance results of various models on this benchmark
Columns
Model Name
[email protected]
[email protected]
[email protected]
[email protected]
Paper Title
AdaFocus (Full, MViT-Charades-Pretrain-feature, MMN model)
62.4
38.6
89.4
66.4
Towards Weakly Supervised End-to-end Learning for Long-video Action Recognition
AdaFocus (Full, I3D-Charades-Pretrain-feature, MMN model)
56.7
35.6
87.9
65.0
Towards Weakly Supervised End-to-end Learning for Long-video Action Recognition
MMN (Full, MViT-K400-Pretrain-feature, evaluated by AdaFocus)
55.2
32.2
88.3
62.7
Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding
AdaFocus (Weak, MViT-Charades-Pretrain-feature, CPL model)
51.7
23.2
85.2
52.6
Towards Weakly Supervised End-to-end Learning for Long-video Action Recognition
AdaFocus (Semi-weak, MViT-Charades-Pretrain-feature, D3G model)
50.1
21.8
86.1
54.6
Towards Weakly Supervised End-to-end Learning for Long-video Action Recognition
MMN (Full, I3D-K400-Pretrain-feature, evaluated by AdaFocus)
49.4
29.8
85.8
60.5
Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding
AdaFocus (Weak, I3D-Charades-Pretrain-feature, CPL model)
49.1
22.4
84.2
51.8
Towards Weakly Supervised End-to-end Learning for Long-video Action Recognition
CPL (Weak, MViT-K400-Pretrain-feature, evaluated by AdaFocus)
47.8
21.8
84.6
50.4
Weakly Supervised Temporal Sentence Grounding With Gaussian-Based Contrastive Proposal Learning
AdaFocus (Semi-weak, I3D-Charades-Pretrain-feature, D3G model)
46.9
21.1
79.3
49.2
Towards Weakly Supervised End-to-end Learning for Long-video Action Recognition
D3G (Semi-weak, MViT-K400-Pretrain-feature, evaluated by AdaFocus)
46.0
20.2
83.1
50.2
D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation
D3G (Semi-weak, I3D-K400-Pretrain-feature, evaluated by AdaFocus)
41.7
18.8
78.2
48.0
D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation
CPL (Weak, I3D-K400-Pretrain-feature, evaluated by AdaFocus)
39.6
18.6
81.4
49.2
Weakly Supervised Temporal Sentence Grounding With Gaussian-Based Contrastive Proposal Learning
0 of 12 row(s) selected.
Previous
Next