SOTAVerified

Activity Detection

Detecting activities in extended videos.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 226–250 of 380 papers

TitleStatusHype
Fine-Grained Classroom Activity Detection from Audio with Neural NetworksCode0
VAD-free Streaming Hybrid CTC/Attention ASR for Unsegmented Recording—0
Joint Activity Detection, Channel Estimation, and Data Decoding for Grant-free Massive Random Access—0
Voice Activity Detection for Transient Noisy Environment Based on Diffusion Nets—0
Dealing with training and test segmentation mismatch: FBK@IWSLT2021—0
EML Online Speech Activity Detection for the Fearless Steps Challenge Phase-III—0
Algorithm Unrolling for Massive Access via Deep Neural Network with Theoretical Guarantee—0
JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detection—0
Joint Channel Estimation and Device Activity Detection in Heterogeneous Networks—0
Accelerating Coordinate Descent via Active Set Selection for Device Activity Detection for Multi-Cell Massive Random Access—0
Joint Activity Detection and Data Decoding in Massive Random Access via a Turbo Receiver—0
Beyond Voice Activity Detection: Hybrid Audio Segmentation for Direct Speech Translation—0
Spatial Correlation Aware Compressed Sensing for User Activity Detection and Channel Estimation in Massive MTC—0
Spatiotemporal Deformable Scene Graphs for Complex Activity Detection—0
Improvement of Noise-Robust Single-Channel Voice Activity Detection with Spatial Pre-processing—0
Early Detection of In-Memory Malicious Activity based on Run-time Environmental Features—0
Sparse Activity Discovery in Energy Constrained Multi-Cluster IoT Networks Using Group Testing—0
USTC-NELSLIP System Description for DIHARD-III Challenge—0
Iterative Reweighted Algorithms for Joint User Identification and Channel Estimation in Spatially Correlated Massive MTC—0
An Ultra-low Power RNN Classifier for Always-On Voice Wake-Up Detection Robust to Real-World Scenarios—0
Incorporating VAD into ASR System by Multi-task Learning—0
Coarse-Fine Networks for Temporal Activity Detection in VideosCode0
End-to-End Dereverberation, Beamforming, and Speech Recognition with Improved Numerical Stability and Advanced Frontend—0
Supporting More Active Users for Massive Access via Data-assisted Activity Detection—0
On training targets for noise-robust voice activity detection—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN-BiLSTM_bestROC-AUC95.14—Unverified
2CNN-BiLSTM_smallROC-AUC95.13—Unverified
3SG-VAD (ours)ROC-AUC94.3—Unverified
4ADA-VADROC-AUC79.1—Unverified