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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/dbouchabou/using-language-model-to-bootstrap-human-activity-recognition-in-smart-homes

공식 코드

Using Language Model to Bootstrap Human Activity Recognition Ambient Sensors Based in Smart Homes

https://github.com/ddursun/violence-detection

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Comparative Analysis: Violence Recognition from Videos using Transfer Learning

https://github.com/debashish-saha1/HAR_UCI_DATASET_MISSING_DATA

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Activity and Subject Detection for UCI HAR Dataset with & without missing Sensor Data

https://github.com/decisionforce/TPN

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Temporal Pyramid Network for Action Recognition

https://github.com/decisionforce/VTHCL

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Video Representation Learning with Visual Tempo Consistency

https://github.com/deepinmotion/autogcn

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AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search

https://github.com/deepinmotion/shapgcn

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Explaining Human Activity Recognition with SHAP: Validating Insights with Perturbation and Quantitative Measures

https://github.com/deepintostreams/gcn-devlstm

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GCN-DevLSTM: Path Development for Skeleton-Based Action Recognition

https://github.com/deepmind/brave

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Broaden Your Views for Self-Supervised Video Learning

https://github.com/deepmind/deepmind-research

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Unsupervised Learning of Object Keypoints for Perception and Control

https://github.com/deepmind/deepmind-research/tree/master/mmv

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Self-Supervised MultiModal Versatile Networks

https://github.com/deepsota/astfocus

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Efficient Robustness Assessment via Adversarial Spatial-Temporal Focus on Videos

https://github.com/degardinbruno/kinetic-gan

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Generative Adversarial Graph Convolutional Networks for Human Action Synthesis

https://github.com/derekpowell/taxi

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TAXI: Evaluating Categorical Knowledge Editing for Language Models

https://github.com/desehuileng0o0/ikem

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Elevating Skeleton-Based Action Recognition with Efficient Multi-Modality Self-Supervision

https://github.com/di0002ya/rfnet

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RF-Net: a Unified Meta-learning Framework for RF-enabled One-shot Human Activity Recognition

https://github.com/dibschat/openvocab-egoAR

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Opening the Vocabulary of Egocentric Actions

https://github.com/dibschat/tempAgg

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Temporal Aggregate Representations for Long-Range Video Understanding

https://github.com/dingyn-reno/mmfs

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Fine-grained Action Analysis: A Multi-modality and Multi-task Dataset of Figure Skating

https://github.com/divyakraman/ECCV2022_FARFourierAerialVideoRecognition

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FAR: Fourier Aerial Video Recognition

https://github.com/dl4mhealth/ts-contrastive-augmentation-recommendation

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Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification

https://github.com/dluvizon/deephar

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Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition

https://github.com/dmbee/fcn-core

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Personalized Activity Recognition with Deep Triplet Embeddings

https://github.com/dmoltisanti/coficut-cvprw24

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Coarse or Fine? Recognising Action End States without Labels

https://github.com/dnc87/miningmultipledependencygraphs

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Learning Alternative Ways of Performing a Task

https://github.com/domenicrosati/longform-evaluation-model-editing

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Long-form evaluation of model editing

https://github.com/dominickrei/pi-vit

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Just Add $π$! Pose Induced Video Transformers for Understanding Activities of Daily Living

https://github.com/dominickrei/poseawarevt

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Seeing the Pose in the Pixels: Learning Pose-Aware Representations in Vision Transformers

https://github.com/dong03/MVSS-Net

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Image Manipulation Detection by Multi-View Multi-Scale Supervision

https://github.com/donghao51/awesome-multimodal-adaptation

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Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models

https://github.com/dongzhikang/mambavl

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Mamba Fusion: Learning Actions Through Questioning

https://github.com/dtamayo-nlp/memat

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Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge

https://github.com/dun-research/haltingvt

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HaltingVT: Adaptive Token Halting Transformer for Efficient Video Recognition

https://github.com/dvl-tum/ciagan

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CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks

https://github.com/ecnu-text-computing/knowledge-editing-benchmark

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Benchmarking and Rethinking Knowledge Editing for Large Language Models

https://github.com/edenbiran/rippleedits

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Evaluating the Ripple Effects of Knowledge Editing in Language Models

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