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Activity Recognition

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하위 태스크: 11
평가표: 4
보존된 평가 기록: 10

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

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/yuzhms/streaming-video-model

공식 코드

Streaming Video Model

https://github.com/yysijie/st-gcn

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Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

https://github.com/yyuncong/tempclr

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TempCLR: Temporal Alignment Representation with Contrastive Learning

https://github.com/yzfly/tcm

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Motion-driven Visual Tempo Learning for Video-based Action Recognition

https://github.com/yzqin/dexmv-sim

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DexMV: Imitation Learning for Dexterous Manipulation from Human Videos

https://github.com/zaamad/Deep-Multilevel-Multimodal-Fusion

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Human Action Recognition Using Deep Multilevel Multimodal (M2) Fusion of Depth and Inertial Sensors

https://github.com/zaamad/Gated-Average-Fusion

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CNN based Multistage Gated Average Fusion (MGAF) for Human Action Recognition Using Depth and Inertial Sensors

https://github.com/zachstarkk/asm2tv

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ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework for Human Activity Recognition

https://github.com/zahid-isu/driveclip

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Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos

https://github.com/zahrag/3DHARSOM

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First and Second Order Dynamics in a Hierarchical SOM system for Action Recognition

https://github.com/zahrag/gg3dhar

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Hierarchical growing grid networks for skeleton based action recognition

https://github.com/zanedurante/vlm_benchmark

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Few-Shot Classification of Interactive Activities of Daily Living (InteractADL)

https://github.com/zce1112zslx/ike

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Can We Edit Factual Knowledge by In-Context Learning?

https://github.com/zch-yu/epic-affordance-annotation

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Fine-grained Affordance Annotation for Egocentric Hand-Object Interaction Videos

https://github.com/zechenli03/sensorllm

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SensorLLM: Human-Intuitive Alignment of Multivariate Sensor Data with LLMs for Activity Recognition

https://github.com/zengyiming-eamon/spcv

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Dynamic 3D Point Cloud Sequences as 2D Videos

https://github.com/zepingyu0512/arithmetic-mechanism

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Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis

https://github.com/zepingyu0512/neuron-attribution

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Neuron-Level Knowledge Attribution in Large Language Models

https://github.com/zeroyuhuang/transformer-patcher

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Transformer-Patcher: One Mistake worth One Neuron

https://github.com/zeyun-zhong/afft

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Anticipative Feature Fusion Transformer for Multi-Modal Action Anticipation

https://github.com/zgzxy001/stmt

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STMT: A Spatial-Temporal Mesh Transformer for MoCap-Based Action Recognition

https://github.com/zh460045050/SNL_ICCV2021

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Unifying Nonlocal Blocks for Neural Networks

https://github.com/zhang-can/PAN-PyTorch

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PAN: Towards Fast Action Recognition via Learning Persistence of Appearance

https://github.com/zhang-yihao/adversarial-representation-engineering

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Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models

https://github.com/zhanghaotong1/wslvideodenseanticipation

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Weakly-Supervised Dense Action Anticipation

https://github.com/zhanglab-deepneurocoglab/motionperceiver

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Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception

https://github.com/zhaoymn/cubelearn

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CubeLearn: End-to-end Learning for Human Motion Recognition from Raw mmWave Radar Signals

https://github.com/zhaoyue-zephyrus/avion

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Training a Large Video Model on a Single Machine in a Day

https://github.com/zhaoyue-zephyrus/testra

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Real-time Online Video Detection with Temporal Smoothing Transformers

https://github.com/zhaozetong/dualedit

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Mitigating Safety Fallback in Editing-based Backdoor Injection on LLMs

https://github.com/zhaxidele/har-with-snn

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Evaluating Spiking Neural Network On Neuromorphic Platform For Human Activity Recognition

https://github.com/zhaxidele/toolkit-for-hbc-sensing

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The Contribution of Human Body Capacitance/Body-Area Electric Field To Individual and Collaborative Activity Recognition

https://github.com/zhenfeiz/cimd

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A New Benchmark and Model for Challenging Image Manipulation Detection

https://github.com/zhengshou/scnn

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Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs

https://github.com/zheshiyige/Learning-Diverse-Stochastic-Human-Action-Generators-by-Learning-Smooth-Latent-Transitions

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Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions

https://github.com/zhesna/EMMA

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Mindful Active Learning

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