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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/abduallahmohamed/social-implicit

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Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation

https://github.com/abhinanda-punnakkal/BABEL

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BABEL: Bodies, Action and Behavior with English Labels

https://github.com/ablau100/daart

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A study of animal action segmentation algorithms across supervised, unsupervised, and semi-supervised learning paradigms

https://github.com/aboah1994/deepsegment

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DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos

https://github.com/aboulch/tec_prediction

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Ionospheric activity prediction using convolutional recurrent neural networks

https://github.com/acerkoo/disco

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Outdated Issue Aware Decoding for Reasoning Questions on Edited Knowledge

https://github.com/adamgoldbraikh/ms-tcrnet

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MS-TCRNet: Multi-Stage Temporal Convolutional Recurrent Networks for Action Segmentation Using Sensor-Augmented Kinematics

https://github.com/adeboissiere/FUSION-human-action-recognition

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Infrared and 3D skeleton feature fusion for RGB-D action recognition

https://github.com/adityac94/Grad_CAM_plus_plus

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Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks

https://github.com/aengusl/latent-adversarial-training

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Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs

https://github.com/afperezm/acoustic-images-distillation

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Audio-Visual Model Distillation Using Acoustic Images

https://github.com/againerju/tcg_recognition

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Traffic Control Gesture Recognition for Autonomous Vehicles

https://github.com/ahmed-nady/multimodal-action-recognition

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EPAM-Net: An Efficient Pose-driven Attention-guided Multimodal Network for Video Action Recognition

https://github.com/ai-forever/sg-detr

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Saliency-Guided DETR for Moment Retrieval and Highlight Detection

https://github.com/ai4life-group/splice

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Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)

https://github.com/aikuniverse/tcte-net

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Temporal-Channel Topology Enhanced Network for Skeleton-Based Action Recognition

https://github.com/aimagelab/Consistency-based-Self-supervised-Learning-for-Temporal-Anomaly-Localization

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Consistency-based Self-supervised Learning for Temporal Anomaly Localization

https://github.com/aimagelab/STAGE_action_detection

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Video action detection by learning graph-based spatio-temporal interactions

https://github.com/aiotgroup/uwash

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You Can Wash Hands Better: Accurate Daily Handwashing Assessment with a Smartwatch

https://github.com/aiotgroup/xrfv2

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XRF V2: A Dataset for Action Summarization with Wi-Fi Signals, and IMUs in Phones, Watches, Earbuds, and Glasses

https://github.com/air-discover/llm-augmented-mtr

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Large Language Models Powered Context-aware Motion Prediction in Autonomous Driving

https://github.com/airglow/gimme_signals_action_recognition

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Gimme Signals: Discriminative signal encoding for multimodal activity recognition

https://github.com/airmachine/EM-MIL-WeaklyActionDetection

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Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning

https://github.com/alessiogalatolo/diekae

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DIEKAE: Difference Injection for Efficient Knowledge Augmentation and Editing of Large Language Models

https://github.com/alexanderrichard/squirrel

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A Bag-of-Words Equivalent Recurrent Neural Network for Action Recognition

https://github.com/alexandrosstergiou/Class_Feature_Visualization_Pyramid

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Class Feature Pyramids for Video Explanation

https://github.com/alexandrosstergiou/Inception_v3_TV_Human_Interactions

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Analyzing Human-Human Interactions: A Survey

https://github.com/alexandrosstergiou/Squeeze-and-Recursion-Temporal-Gates

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Multi-Temporal Convolutions for Human Action Recognition in Videos

https://github.com/alexrich021/3dvnet

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3DVNet: Multi-View Depth Prediction and Volumetric Refinement

https://github.com/alibaba-mmai-research/pytorch-video-understanding

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TAda! Temporally-Adaptive Convolutions for Video Understanding

https://github.com/alibaba/Deep-Vision/tree/main/Context-Motion-Decoupling

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Self-supervised Video Representation Learning by Context and Motion Decoupling

https://github.com/alinlab/temporal-selfsupervision

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Time Is MattEr: Temporal Self-supervision for Video Transformers

https://github.com/alpha-innovator/novelseek

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NovelSeek: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification

https://github.com/amathislab/epfl-smart-kitchen

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EPFL-Smart-Kitchen-30: Densely annotated cooking dataset with 3D kinematics to challenge video and language models

https://github.com/amazon-research/video-contrastive-learning

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Video Contrastive Learning with Global Context

https://github.com/ami-iit/paper_guo_2023_humanoids_lifting_risk_prediction

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Online Action Recognition for Human Risk Prediction with Anticipated Haptic Alert via Wearables

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.