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SOTA
Online-Aktionserkennung
Online Action Detection On Tvseries
Online Action Detection On Tvseries
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mCAP
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
mCAP
Paper Title
GateHUB
89.6
GateHUB: Gated History Unit with Background Suppression for Online Action Detection
MiniROAD
89.6
MiniROAD: Minimal RNN Framework for Online Action Detection
LSTR
89.1
Long Short-Term Transformer for Online Action Detection
OadTR
88.6
Continual Transformers: Redundancy-Free Attention for Online Inference
OadTR-b2
88.3
Continual Transformers: Redundancy-Free Attention for Online Inference
Colar
88.1
Colar: Effective and Efficient Online Action Detection by Consulting Exemplars
OadTR-b1
88.1
Continual Transformers: Redundancy-Free Attention for Online Inference
CoOadTR-b1
87.7
Continual Transformers: Redundancy-Free Attention for Online Inference
CoOadTR-b2
87.6
Continual Transformers: Redundancy-Free Attention for Online Inference
OadTR
87.2
OadTR: Online Action Detection with Transformers
PKD
86.4
Privileged Knowledge Distillation for Online Action Detection
TRN
86.2
Temporal Recurrent Networks for Online Action Detection
IDN
86.1
Learning to Discriminate Information for Online Action Detection
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Online Action Detection On Tvseries | SOTA | HyperAI