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Temporal Action Localization

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하위 태스크: 8
평가표: 14
보존된 평가 기록: 125

Temporal Action Localization aims to detect activities in the video stream and output beginning and end timestamps. It is closely related to Temporal Action Proposal Generation.

코드

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

https://github.com/hlcdyy/pan-motion-retargeting

공식 코드

Pose-aware Attention Network for Flexible Motion Retargeting by Body Part

https://github.com/hoagyc/sparse_coding

공식 코드

Sparse Autoencoders Find Highly Interpretable Features in Language Models

https://github.com/holi-lab/core

공식 코드

Context Robust Knowledge Editing for Language Models

https://github.com/holistic-video-understanding/HVU-Dataset

공식 코드

Large Scale Holistic Video Understanding

https://github.com/holzbock/st_mlp

공식 코드

A Spatio-Temporal Multilayer Perceptron for Gesture Recognition

https://github.com/hongsong-wang/PVRNN

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PVRED: A Position-Velocity Recurrent Encoder-Decoder for Human Motion Prediction

https://github.com/hongyan1123/skeletonmae

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SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training

https://github.com/hotfinda/videomambapro

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Snakes and Ladders: Two Steps Up for VideoMamba

https://github.com/houshd/MLSTM-FCN

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Multivariate LSTM-FCNs for Time Series Classification

https://github.com/howardzh01/ppma

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Learning Human Action Recognition Representations Without Real Humans

https://github.com/huangxiusheng/dem

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Commonsense Knowledge Editing Based on Free-Text in LLMs

https://github.com/huiguanlab/hico

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Hierarchical Contrast for Unsupervised Skeleton-based Action Representation Learning

https://github.com/hulianyuyy/STGAT

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Spatial Temporal Graph Attention Network for Skeleton-Based Action Recognition

https://github.com/hustyyq/where-to-edit

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Learning Where to Edit Vision Transformers

https://github.com/hvision-nku/storydiffusion

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StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation

https://github.com/hwj20/apex_exp

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APEX: Empowering LLMs with Physics-Based Task Planning for Real-time Insight

https://github.com/hypjudy/Decouple-SSAD

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Decoupling Localization and Classification in Single Shot Temporal Action Detection

https://github.com/hyqlat/ATACB

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Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic

https://github.com/hyqlat/tcl

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Temporal Continual Learning with Prior Compensation for Human Motion Prediction

https://github.com/hyunjs/sgt

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Detection Recovery in Online Multi-Object Tracking with Sparse Graph Tracker

https://github.com/hyunjs/stov-tal

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Exploring Scalability of Self-Training for Open-Vocabulary Temporal Action Localization

https://github.com/icidsl/harflow3d

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HARFLOW3D: A Latency-Oriented 3D-CNN Accelerator Toolflow for HAR on FPGA Devices

https://github.com/ideal-idea/sap

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Shifting Perspective to See Difference: A Novel Multi-View Method for Skeleton based Action Recognition

https://github.com/idiap/potr

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Pose Transformers (POTR): Human Motion Prediction with Non-Autoregressive Transformers

https://github.com/idruglab/adcnet

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ADCNet: a unified framework for predicting the activity of antibody-drug conjugates

https://github.com/idt-iti/mmfusion-iml

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MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization

https://github.com/iduta/iresnet

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Improved Residual Networks for Image and Video Recognition

https://github.com/iesymiao/cd-gcn

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A Central Difference Graph Convolutional Operator for Skeleton-Based Action Recognition

https://github.com/iit-pavis/uhar_skeletal_laplacian

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Unsupervised Human Action Recognition with Skeletal Graph Laplacian and Self-Supervised Viewpoints Invariance

https://github.com/imj2185/STAR

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STAR: Sparse Transformer-based Action Recognition

https://github.com/inowlzy/smart

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SMART: Scene-motion-aware human action recognition framework for mental disorder group

https://github.com/inria-larsen/activity-recognition-prediction-wearable

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A Variational Time Series Feature Extractor for Action Prediction

https://github.com/intellabs/multimodal_cognitive_ai

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Analyzing Zero-Shot Abilities of Vision-Language Models on Video Understanding Tasks

https://github.com/interpretml/gam-changer

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Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values

https://github.com/interpretml/interpret

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Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values

https://github.com/irmvlab/egoloc

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Zero-Shot Temporal Interaction Localization for Egocentric Videos

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