https://github.com/thuhci/MMTSA
공식 코드MMTSA: Multimodal Temporal Segment Attention Network for Efficient Human Activity Recognition
Papers with Code 아카이브
Action Detection
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Action Detection aims to find both where and when an action occurs within a video clip and classify what the action is taking place. Typically results are given in the form of action tublets, which are action bounding boxes linked across time in the video. This is related to temporal localization, which seeks to identify the start and end frame of an action, and action recognition, which seeks only to classify which action is taking place and typically assumes a trimmed video.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/tingz123/fha-kitchens
공식 코드https://github.com/tkipf/pygcn
공식 코드Semi-Supervised Classification with Graph Convolutional Networks
https://github.com/toytiny/milliflow
공식 코드milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion Sensing
https://github.com/tpekarekrosin/uhh_ub_ageawarehri
공식 코드A Framework for Adapting Human-Robot Interaction to Diverse User Groups
https://github.com/tranxuantuyen/computer
공식 코드Unified Framework with Consistency across Modalities for Human Activity Recognition
https://github.com/tszheichoi/awesome-sensor-logger
공식 코드ALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-based Human Activity Recogntion
https://github.com/ttlmh/bridge-prompt
공식 코드Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos
https://github.com/twyncoder/vidimu-tools
공식 코드https://github.com/uark-aicv/aoe-net
공식 코드https://github.com/uark-aicv/video_representation
공식 코드Contextual Explainable Video Representation: Human Perception-based Understanding
https://github.com/umautobots/pedestrian_intent_action_detection
공식 코드Coupling Intent and Action for Pedestrian Crossing Behavior Prediction
https://github.com/vhvkhoa/TAPG-AgentEnvNetwork
공식 코드ABN: Agent-Aware Boundary Networks for Temporal Action Proposal Generation
https://github.com/vhvkhoa/tapg-agentenvinteration
공식 코드AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation
https://github.com/vividle/online-action-detection
공식 코드Colar: Effective and Efficient Online Action Detection by Consulting Exemplars
https://github.com/vividle/structured-attention-composition
공식 코드Structured Attention Composition for Temporal Action Localization
https://github.com/void-96/har_tencon2022
공식 코드Handwashing Action Detection System for an Autonomous Social Robot
https://github.com/vt-vl-lab/SDN
공식 코드Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition
https://github.com/vut-hfut/micro-action
공식 코드https://github.com/vvhj/tsgcnext
공식 코드https://github.com/w-wu/steer
공식 코드Integrating Emotion Recognition with Speech Recognition and Speaker Diarisation for Conversations
https://github.com/wang-chen/KCC
공식 코드https://github.com/wangtianrui/HGCN
공식 코드HGCN: Harmonic gated compensation network for speech enhancement
https://github.com/wangxiang1230/OadTR
공식 코드https://github.com/wangyijunlyy/selafd
공식 코드SelaFD:Seamless Adaptation of Vision Transformer Fine-tuning for Radar-based Human Activity
https://github.com/watonomous/action-classification
공식 코드RALACs: Action Recognition in Autonomous Vehicles using Interaction Encoding and Optical Flow
https://github.com/wdkhuans/SALIENCE
공식 코드https://github.com/webber2933/iclip
공식 코드Interaction-Aware Prompting for Zero-Shot Spatio-Temporal Action Detection
https://github.com/wei-tim/YOWO
공식 코드You Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action Localization
https://github.com/weiqian1/IGA
공식 코드An Interactive Greedy Approach to Group Sparsity in High Dimensions
https://github.com/wengwanjiang/usdrl
공식 코드USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation
https://github.com/wenhanwu95/freqmixformer
공식 코드Frequency Guidance Matters: Skeletal Action Recognition by Frequency-Aware Mixed Transformer
https://github.com/wiktormucha/SHARP
공식 코드https://github.com/wiktormucha/effhandegonet
공식 코드In My Perspective, In My Hands: Accurate Egocentric 2D Hand Pose and Action Recognition
https://github.com/wjn922/sp-tad
공식 코드Towards High-Quality Temporal Action Detection with Sparse Proposals
https://github.com/wwwfan628/da-aim
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.