SOTAVerified

Action Detection

Action Detection aims to find both where and when an action occurs within a video clip and classify what the action is taking place. Typically results are given in the form of action tublets, which are action bounding boxes linked across time in the video. This is related to temporal localization, which seeks to identify the start and end frame of an action, and action recognition, which seeks only to classify which action is taking place and typically assumes a trimmed video.

Papers

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Showing 401–450 of 817 papers

TitleStatusHype
Sequence Block based Compressed Sensing Multiuser Detection for 5G—0
Sequence-to-Sequence Neural Diarization with Automatic Speaker Detection and Representation—0
Siamese Neural Networks for Class Activity Detection—0
Signed Latent Factors for Spamming Activity Detection—0
Similarity R-C3D for Few-shot Temporal Activity Detection—0
Simultaneous Speech Extraction for Multiple Target Speakers under the Meeting Scenarios—0
Single-Microphone Speaker Separation and Voice Activity Detection in Noisy and Reverberant Environments—0
Skeleton Boxes: Solving skeleton based action detection with a single deep convolutional neural network—0
SkeleTR: Towards Skeleton-based Action Recognition in the Wild—0
SkeleTR: Towrads Skeleton-based Action Recognition in the Wild—0
Smart Black Box 2.0: Efficient High-bandwidth Driving Data Collection based on Video Anomalies—0
Sparse Activity Discovery in Energy Constrained Multi-Cluster IoT Networks Using Group Testing—0
Sparse Signal Processing for Massive Connectivity via Mixed-Integer Programming—0
Spatial Correlation Aware Compressed Sensing for User Activity Detection and Channel Estimation in Massive MTC—0
Spatial Morphing Kernel Regression For Feature Interpolation—0
Spatial-Temporal Alignment Network for Action Recognition and Detection—0
Spatio-Temporal Action Detection with Cascade Proposal and Location Anticipation—0
Spatio-Temporal Action Detection with Multi-Object Interaction—0
Spatio-Temporal Action Localization in a Weakly Supervised Setting—0
Spatio-temporal Action Recognition: A Survey—0
Spatio-Temporal Context for Action Detection—0
Spatio-Temporal Context Prompting for Zero-Shot Action Detection—0
Spatiotemporal Deformable Scene Graphs for Complex Activity Detection—0
Spatiotemporal Deformable Part Models for Action Detection—0
Spatiotemporal Event Graphs for Dynamic Scene Understanding—0
Speaker and Posture Classification using Instantaneous Intraspeech Breathing Features—0
Speaker Embedding-aware Neural Diarization: an Efficient Framework for Overlapping Speech Diarization in Meeting Scenarios—0
Speaker Embeddings With Weakly Supervised Voice Activity Detection For Efficient Speaker Diarization—0
Speaker Independent Continuous Speech to Text Converter for Mobile Application—0
Speech enhancement aided end-to-end multi-task learning for voice activity detection—0
Spiking neural networks trained with backpropagation for low power neuromorphic implementation of voice activity detection—0
SPIRE-SIES: A Spontaneous Indian English Speech Corpus—0
SRF-Net: Selective Receptive Field Network for Anchor-Free Temporal Action Detection—0
SRG: Snippet Relatedness-based Temporal Action Proposal Generator—0
Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments—0
Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector—0
STMixer: A One-Stage Sparse Action Detector—0
Supporting More Active Users for Massive Access via Data-assisted Activity Detection—0
sVAD: A Robust, Low-Power, and Light-Weight Voice Activity Detection with Spiking Neural Networks—0
SVVAD: Personal Voice Activity Detection for Speaker Verification—0
Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks—0
TACNet: Transition-Aware Context Network for Spatio-Temporal Action Detection—0
TAEN: Temporal Aware Embedding Network for Few-Shot Action Recognition—0
Tandem Multitask Training of Speaker Diarisation and Speech Recognition for Meeting Transcription—0
Target-Speaker Voice Activity Detection: a Novel Approach for Multi-Speaker Diarization in a Dinner Party Scenario—0
Target-Speaker Voice Activity Detection via Sequence-to-Sequence Prediction—0
Target-speaker Voice Activity Detection with Improved I-Vector Estimation for Unknown Number of Speaker—0
Target Speaker Voice Activity Detection with Transformers and Its Integration with End-to-End Neural Diarization—0
TCG CREST System Description for the Second DISPLACE Challenge—0
Temporal2Seq: A Unified Framework for Temporal Video Understanding Tasks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1STAR/LFrame-mAP 0.590.3—Unverified
2SiAFrame-mAP 0.588.5—Unverified
3YOWO + LFBFrame-mAP 0.587.3—Unverified
4HITFrame-mAP 0.584.8—Unverified
5HISAN (ResNet-101 + FPN)Video-mAP 0.282.3—Unverified
6YOWOFrame-mAP 0.580.4—Unverified
7Two-in-one Two StreamVideo-mAP 0.278.48—Unverified
8MOCFrame-mAP 0.577.8—Unverified
9Faster-RCNN + two-stream I3D convFrame-mAP 0.576.3—Unverified
10Two-in-oneVideo-mAP 0.275.48—Unverified
#ModelMetricClaimedVerifiedStatus
1SiAFrame-mAP 0.588.5—Unverified
2HISAN (ResNet-101 + FPN)Video-mAP 0.287.59—Unverified
3HITFrame-mAP 0.583.8—Unverified
4HISAN (VGG-16)Frame-mAP 0.576.72—Unverified
5DTSVideo-mAP 0.276.1—Unverified
6YOWO + LFBFrame-mAP 0.575.7—Unverified
7Two-in-one Two StreamVideo-mAP 0.574.74—Unverified
8YOWOFrame-mAP 0.574.4—Unverified
9MOCFrame-mAP 0.574—Unverified
10Faster-RCNN + two-stream I3D convFrame-mAP 0.573.3—Unverified
#ModelMetricClaimedVerifiedStatus
1TTMmAP28.79—Unverified
2CTRNmAP27.8—Unverified
3Coarse-Fine Networks (w/ self-supervised detection pretraining)mAP26.95—Unverified
4UniMD+Sync. (RGB+Flow)mAP26.53—Unverified
5PDAN (RGB+Flow)mAP26.5—Unverified
6PATmAP26.5—Unverified
7MS-TCT (RGB only)mAP25.4—Unverified
83D ResNet-50 + super-events pretrained on AViDmAP25.2—Unverified
9Coarse-Fine NetworksmAP25.1—Unverified
10I3D + biGRU + VS-ST-MPNNmAP23.7—Unverified
#ModelMetricClaimedVerifiedStatus
1MLADmAP51.5—Unverified
2CTRNmAP51.2—Unverified
3PDANmAP47.6—Unverified
4TGMmAP46.4—Unverified
5MS-TCT (RGB only)mAP43.1—Unverified
6I3D + our super-eventmAP36.4—Unverified
7Two-stream + LSTMmAP28.1—Unverified
8Two-streammAP27.6—Unverified
#ModelMetricClaimedVerifiedStatus
1Two-in-one Two StreamVideo-mAP 0.596.52—Unverified
2DTSVideo-mAP 0.294.3—Unverified
3Two-in-oneVideo-mAP 0.592.74—Unverified
4T-CNNFrame-mAP 0.586.7—Unverified
5MR-TS R-CNNFrame-mAP 0.584.52—Unverified
6TS R-CNNFrame-mAP 0.582.3—Unverified
7Action TubesFrame-mAP 0.568.1—Unverified
#ModelMetricClaimedVerifiedStatus
1MAT (Ours) TransmAP71.6—Unverified
2TadML-two streammAP59.7—Unverified
3MAT (ours)mAP58.2—Unverified
4TadML-rgbmAP53.46—Unverified
#ModelMetricClaimedVerifiedStatus
1HITFrame-mAP 0.533.3—Unverified
2SiAFrame-mAP 0.528.8—Unverified
#ModelMetricClaimedVerifiedStatus
1MS-TCTFrame-mAP33.7—Unverified
2PDANFrame-mAP32.7—Unverified
#ModelMetricClaimedVerifiedStatus
1STCNNIoU0.14—Unverified
2Two Stream NetworkIoU0.07—Unverified
#ModelMetricClaimedVerifiedStatus
1STCNN-V2 (Vote decision)IoU0.52—Unverified
2RGB and PRGBIoU0.35—Unverified
#ModelMetricClaimedVerifiedStatus
1PATmAP44.6—Unverified