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 751–800 of 817 papers

TitleStatusHype
Tube Convolutional Neural Network (T-CNN) for Action Detection in VideosCode0
R-C3D: Region Convolutional 3D Network for Temporal Activity DetectionCode0
PKU-MMD: A Large Scale Benchmark for Continuous Multi-Modal Human Action Understanding—0
A Pursuit of Temporal Accuracy in General Activity DetectionCode0
Efficient Action Detection in Untrimmed Videos via Multi-Task Learning—0
Temporal Tessellation: A Unified Approach for Video AnalysisCode0
Temporal-Needle: A view and appearance invariant video descriptor—0
Unsupervised Human Action Detection by Action Matching—0
Video Event Detection by Exploiting Word Dependencies from Image Captions—0
Learning recurrent representations for hierarchical behavior modeling—0
Real-time Online Action Detection Forests using Spatio-temporal Contexts—0
Review of Action Recognition and Detection MethodsCode0
Multi-region two-stream R-CNN for action detection—0
Temporal Activity Detection in Untrimmed Videos with Recurrent Neural NetworksCode0
Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos—0
Efficient Activity Detection in Untrimmed Video with Max-Subgraph Search—0
Transition Forests: Learning Discriminative Temporal Transitions for Action Recognition and Detection—0
Untrimmed Video Classification for Activity Detection: submission to ActivityNet ChallengeCode0
Aggressive actions and anger detection from multiple modalities using Kinect—0
Hand Action Detection from Ego-centric Depth Sequences with Error-correcting Hough Transform—0
Progressively Parsing Interactional Objects for Fine Grained Action Detection—0
Temporal Action Detection Using a Statistical Language ModelCode0
A Multi-Stream Bi-Directional Recurrent Neural Network for Fine-Grained Action Detection—0
Learning Activity Progression in LSTMs for Activity Detection and Early Detection—0
Fast Temporal Activity Proposals for Efficient Detection of Human Actions in Untrimmed Videos—0
Actionness Estimation Using Hybrid Fully Convolutional Networks—0
Online Action Detection—0
Online Human Action Detection using Joint Classification-Regression Recurrent Neural NetworksCode0
Kernel-based Sensor Fusion with Application to Audio-Visual Voice Activity Detection—0
Leaving Some Stones Unturned: Dynamic Feature Prioritization for Activity Detection in Streaming Video—0
Cross-modal Supervision for Learning Active Speaker Detection in Video—0
Fast Optical Flow using Dense Inverse Search—0
Actionness-Assisted Recognition of Actions—0
Action Detection by Implicit Intentional Motion Clustering—0
End-to-end Learning of Action Detection from Frame Glimpses in VideosCode0
Application of Machine Learning Techniques in Human Activity Recognition—0
Tensor vs Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations—0
A Novel Approach for Human Action Recognition from Silhouette Images—0
User Adaptive Restoration for Incorrectly-Segmented Utterances in Spoken Dialogue Systems—0
The Cohort and Speechify Libraries for Rapid Construction of Speech Enabled Applications for Android—0
Online Anomaly Detection via Class-Imbalance Learning—0
Fast Action Proposals for Human Action Detection and Search—0
Encoding Based Saliency Detection for Videos and Images—0
ActivityNet: A Large-Scale Video Benchmark for Human Activity UnderstandingCode0
Group Event Detection with a Varying Number of Group Members for Video Surveillance—0
A new network-based algorithm for human activity recognition in video—0
Linear-time Online Action Detection From 3D Skeletal Data Using Bags of Gesturelets—0
A Survey on Recent Advances of Computer Vision Algorithms for Egocentric Video—0
Voice Activity Detection using Temporal Characteristics of Autocorrelation Lag and Maximum Spectral Amplitude in Sub-bands—0
Multiple Instance Reinforcement Learning for Efficient Weakly-Supervised Detection in Images—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
10MLAD (RGB + Flow)mAP23.7—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