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SOTA
Action Detection
Action Detection On Charades
Action Detection On Charades
Metrics
mAP
Results
Performance results of various models on this benchmark
Columns
Model Name
mAP
Paper Title
TTM
28.79
Token Turing Machines
CTRN
27.8
CTRN: Class-Temporal Relational Network for Action Detection
Coarse-Fine Networks (w/ self-supervised detection pretraining)
26.95
Weakly-guided Self-supervised Pretraining for Temporal Activity Detection
UniMD+Sync. (RGB+Flow)
26.53
UniMD: Towards Unifying Moment Retrieval and Temporal Action Detection
PDAN (RGB+Flow)
26.5
PDAN: Pyramid Dilated Attention Network for Action Detection
PAT
26.5
PAT: Position-Aware Transformer for Dense Multi-Label Action Detection
MS-TCT (RGB only)
25.4
MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection
3D ResNet-50 + super-events pretrained on AViD
25.2
AViD Dataset: Anonymized Videos from Diverse Countries
Coarse-Fine Networks
25.1
Coarse-Fine Networks for Temporal Activity Detection in Videos
MLAD (RGB + Flow)
23.7
Modeling Multi-Label Action Dependencies for Temporal Action Localization
I3D + biGRU + VS-ST-MPNN
23.7
Representation Learning on Visual-Symbolic Graphs for Video Understanding
3D ResNet-50 pretrained on AViD
23.2
AViD Dataset: Anonymized Videos from Diverse Countries
TGM (RGB+Flow)
22.3
Temporal Gaussian Mixture Layer for Videos
Super-events (RGB+Flow)
19.41
Learning Latent Super-Events to Detect Multiple Activities in Videos
R-C3D
12.4
R-C3D: Region Convolutional 3D Network for Temporal Activity Detection
Sigurdsson et al.
9.6
Asynchronous Temporal Fields for Action Recognition
0 of 16 row(s) selected.
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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
Action Detection
Action Detection On Charades
Action Detection On Charades
Metrics
mAP
Results
Performance results of various models on this benchmark
Columns
Model Name
mAP
Paper Title
TTM
28.79
Token Turing Machines
CTRN
27.8
CTRN: Class-Temporal Relational Network for Action Detection
Coarse-Fine Networks (w/ self-supervised detection pretraining)
26.95
Weakly-guided Self-supervised Pretraining for Temporal Activity Detection
UniMD+Sync. (RGB+Flow)
26.53
UniMD: Towards Unifying Moment Retrieval and Temporal Action Detection
PDAN (RGB+Flow)
26.5
PDAN: Pyramid Dilated Attention Network for Action Detection
PAT
26.5
PAT: Position-Aware Transformer for Dense Multi-Label Action Detection
MS-TCT (RGB only)
25.4
MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection
3D ResNet-50 + super-events pretrained on AViD
25.2
AViD Dataset: Anonymized Videos from Diverse Countries
Coarse-Fine Networks
25.1
Coarse-Fine Networks for Temporal Activity Detection in Videos
MLAD (RGB + Flow)
23.7
Modeling Multi-Label Action Dependencies for Temporal Action Localization
I3D + biGRU + VS-ST-MPNN
23.7
Representation Learning on Visual-Symbolic Graphs for Video Understanding
3D ResNet-50 pretrained on AViD
23.2
AViD Dataset: Anonymized Videos from Diverse Countries
TGM (RGB+Flow)
22.3
Temporal Gaussian Mixture Layer for Videos
Super-events (RGB+Flow)
19.41
Learning Latent Super-Events to Detect Multiple Activities in Videos
R-C3D
12.4
R-C3D: Region Convolutional 3D Network for Temporal Activity Detection
Sigurdsson et al.
9.6
Asynchronous Temporal Fields for Action Recognition
0 of 16 row(s) selected.
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Action Detection On Charades | SOTA | HyperAI