SOTAVerified

Activity Recognition

Human Activity Recognition is the problem of identifying events performed by humans given a video input. It is formulated as a binary (or multiclass) classification problem of outputting activity class labels. Activity Recognition is an important problem with many societal applications including smart surveillance, video search/retrieval, intelligent robots, and other monitoring systems.

Source: Learning Latent Sub-events in Activity Videos Using Temporal Attention Filters

Papers

Showing 481490 of 1322 papers

TitleStatusHype
Automated Surgical Activity Recognition with One Labeled Sequence0
Explainable Artificial Intelligence for Quantifying Interfering and High-Risk Behaviors in Autism Spectrum Disorder in a Real-World Classroom Environment Using Privacy-Preserving Video Analysis0
Explainable Deep Learning Framework for Human Activity Recognition0
Explaining, Analyzing, and Probing Representations of Self-Supervised Learning Models for Sensor-based Human Activity Recognition0
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing0
Explaining Motion Relevance for Activity Recognition in Video Deep Learning Models0
Automated Level Crossing System: A Computer Vision Based Approach with Raspberry Pi Microcontroller0
Exploring Automatic Gym Workouts Recognition Locally On Wearable Resource-Constrained Devices0
Maximum Likelihood Speed Estimation of Moving Objects in Video Signals0
Distributed Agent-Based Collaborative Learning in Cross-Individual Wearable Sensor-Based Human Activity Recognition0
Show:102550
← PrevPage 49 of 133Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Structured Keypoint PoolingAccuracy93.4Unverified
2Semi-Supervised Hard Attention (SSHA); pretrained on Deepmind Kinetics datasetAccuracy90.4Unverified
3Human Skeletons + Change DetectionAccuracy90.25Unverified
4Separable Convolutional LSTMAccuracy89.75Unverified
5SPIL ConvolutionAccuracy89.3Unverified
6Flow Gated NetworkAccuracy87.25Unverified
#ModelMetricClaimedVerifiedStatus
1FocusCLIPTop-3 Accuracy (%)10.47Unverified
2CLIPTop-3 Accuracy (%)6.49Unverified
#ModelMetricClaimedVerifiedStatus
1Boutaleb et al.1:1 Accuracy97.91Unverified
#ModelMetricClaimedVerifiedStatus
1all-landmark-modelActivity Recognition0.76Unverified