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Action Localization

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하위 태스크: 4
평가표: 0
보존된 평가 기록: 0

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/wei-mao-2019/HisRepItself

공식 코드

History Repeats Itself: Human Motion Prediction via Motion Attention

https://github.com/wei-mao-2019/LearnTrajDep

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Learning Trajectory Dependencies for Human Motion Prediction

https://github.com/wei-mao-2019/gsps

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Generating Smooth Pose Sequences for Diverse Human Motion Prediction

https://github.com/wei-mao-2019/wat

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Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction

https://github.com/wei-tim/YOWO

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You Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action Localization

https://github.com/weichuanw/llm-based-mt-via-model-editing

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Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing

https://github.com/weiyifan1023/RaKE

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Assessing Knowledge Editing in Language Models via Relation Perspective

https://github.com/weiyifan1023/knowledge-edit-based-on-relation-perspective

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Assessing Knowledge Editing in Language Models via Relation Perspective

https://github.com/wengwanjiang/usdrl

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USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation

https://github.com/wenhanwu95/freqmixformer

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Frequency Guidance Matters: Skeletal Action Recognition by Frequency-Aware Mixed Transformer

https://github.com/western-oc2-lab/intrusion-detection-system-using-cnn-and-transfer-learning

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A Transfer Learning and Optimized CNN Based Intrusion Detection System for Internet of Vehicles

https://github.com/westny/mtp-go

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Evaluation of Differentially Constrained Motion Models for Graph-Based Trajectory Prediction

https://github.com/whwu95/MVFNet

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MVFNet: Multi-View Fusion Network for Efficient Video Recognition

https://github.com/why986/VFA

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Versatile Face Animator: Driving Arbitrary 3D Facial Avatar in RGBD Space

https://github.com/wiktormucha/SHARP

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SHARP: Segmentation of Hands and Arms by Range using Pseudo-Depth for Enhanced Egocentric 3D Hand Pose Estimation and Action Recognition

https://github.com/wiktormucha/effhandegonet

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In My Perspective, In My Hands: Accurate Egocentric 2D Hand Pose and Action Recognition

https://github.com/wlin-at/vitta

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Video Test-Time Adaptation for Action Recognition

https://github.com/wqi/WIMP

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What-If Motion Prediction for Autonomous Driving

https://github.com/wuli55555/issf

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Weakly-Supervised Temporal Action Localization by Inferring Salient Snippet-Feature

https://github.com/wuzhenyusjtu/Privacy-AdversarialLearning

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Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study

https://github.com/wzmsltw/BSN-boundary-sensitive-network.pytorch

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BSN: Boundary Sensitive Network for Temporal Action Proposal Generation

https://github.com/wzzheng/genad

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GenAD: Generative End-to-End Autonomous Driving

https://github.com/wzzheng/gpd

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GPD-1: Generative Pre-training for Driving

https://github.com/xacheng1996/sllm

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Sample Less, Learn More: Efficient Action Recognition via Frame Feature Restoration

https://github.com/xbmxb/edit_analysis

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On the Robustness of Editing Large Language Models

https://github.com/xh20/HAGCN

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Skeletal Human Action Recognition using Hybrid Attention based Graph Convolutional Network

https://github.com/xhaughearl/haarmodic

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Multi-Resolution Haar Network: Enhancing human motion prediction via Haar transform

https://github.com/xiandaguo/drive-mllm

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DriveMLLM: A Benchmark for Spatial Understanding with Multimodal Large Language Models in Autonomous Driving

https://github.com/xiaogangpeng/socialtgcn

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The MI-Motion Dataset and Benchmark for 3D Multi-Person Motion Prediction

https://github.com/xiaojiegu/ultraedit

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UltraEdit: Training-, Subject-, and Memory-Free Lifelong Editing in Large Language Models

https://github.com/xiaojuntang22/iccv2023-ddgnet

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DDG-Net: Discriminability-Driven Graph Network for Weakly-supervised Temporal Action Localization

https://github.com/xincoder/GRIP

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GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous Driving

https://github.com/xingli1012/sequentialpointnet

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Real-time 3D human action recognition based on Hyperpoint sequence

https://github.com/xinhaoyi/edit_bio_long_tail

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Can We Edit LLMs for Long-Tail Biomedical Knowledge?

https://github.com/xlliu7/E2E-TAD

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An Empirical Study of End-to-End Temporal Action Detection

https://github.com/xlliu7/TadTR

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End-to-end Temporal Action Detection with Transformer

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