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Action Localization

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Action Localization is finding the spatial and temporal co ordinates for an action in a video. An action localization model will identify which frame an action start and ends in video and return the x,y coordinates of an action. Further the co ordinates will change when the object performing action undergoes a displacement.

코드

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

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

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

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

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Unsupervised Learning of Object Keypoints for Perception and Control

https://github.com/deepmind/perception_test

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Perception Test: A Diagnostic Benchmark for Multimodal Video Models

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/dingfengshi/tridet

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TriDet: Temporal Action Detection with Relative Boundary Modeling

https://github.com/dingfengshi/tridetplus

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Temporal Action Localization with Enhanced Instant Discriminability

https://github.com/dipika-singhania/C2F-TCN

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Coarse to Fine Multi-Resolution Temporal Convolutional Network

https://github.com/dipika-singhania/ICC-Semi-Supervised-TAS

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Iterative Contrast-Classify For Semi-supervised Temporal Action Segmentation

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/dmytrozabolotnii/autoware_mini

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Pedestrian motion prediction evaluation for urban autonomous driving

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

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Long-form evaluation of model editing

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/dpfried/action-segmentation

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Learning to Segment Actions from Observation and Narration

https://github.com/droliven/diverse_sampling

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Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary Space

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/dulucas/simlpe

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Back to MLP: A Simple Baseline for Human Motion Prediction

https://github.com/easonxiao-888/uvcom

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Bridging the Gap: A Unified Video Comprehension Framework for Moment Retrieval and Highlight Detection

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

https://github.com/edgarschnfld/CADA-VAE-PyTorch

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Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders

https://github.com/edodema/BestPractices2Body

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Best Practices for 2-Body Pose Forecasting

https://github.com/edshieh/motionprediction

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A Mixture of Experts Approach to 3D Human Motion Prediction

https://github.com/edwardleelpz/powerbev

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PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View

https://github.com/ekgus9/COME

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CoME: An Unlearning-based Approach to Conflict-free Model Editing

https://github.com/elenabbbuenob/tsa-actionseg

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Leveraging triplet loss for unsupervised action segmentation

https://github.com/emansim/unsupervised-videos

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Unsupervised Learning of Video Representations using LSTMs

https://github.com/eric-mitchell/mend

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Fast Model Editing at Scale

https://github.com/eric8932/jeep

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Joint Knowledge Editing for Information Enrichment and Probability Promotion

https://github.com/eth-ait/motion-transformer

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A Spatio-temporal Transformer for 3D Human Motion Prediction

https://github.com/evendrow/somoformer

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SoMoFormer: Multi-Person Pose Forecasting with Transformers

https://github.com/event-ahu/celex-har

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Event Stream based Human Action Recognition: A High-Definition Benchmark Dataset and Algorithms

https://github.com/event-ahu/hardvs

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HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors

https://github.com/fabienbaradel/glimpse_clouds

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Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points

https://github.com/facebookresearch/GloRe

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Graph-Based Global Reasoning Networks

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