https://github.com/air-discover/llm-augmented-mtr
공식 코드Large Language Models Powered Context-aware Motion Prediction in Autonomous Driving
Papers with Code 아카이브
Temporal Action Localization
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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/airglow/gimme_signals_action_recognition
공식 코드Gimme Signals: Discriminative signal encoding for multimodal activity recognition
https://github.com/airmachine/EM-MIL-WeaklyActionDetection
공식 코드Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning
https://github.com/alessiogalatolo/diekae
공식 코드https://github.com/alexanderrichard/squirrel
공식 코드A Bag-of-Words Equivalent Recurrent Neural Network for Action Recognition
https://github.com/alexandrosstergiou/Class_Feature_Visualization_Pyramid
공식 코드https://github.com/alexandrosstergiou/Inception_v3_TV_Human_Interactions
공식 코드https://github.com/alexandrosstergiou/Squeeze-and-Recursion-Temporal-Gates
공식 코드Multi-Temporal Convolutions for Human Action Recognition in Videos
https://github.com/alexrich021/3dvnet
공식 코드3DVNet: Multi-View Depth Prediction and Volumetric Refinement
https://github.com/alibaba-mmai-research/pytorch-video-understanding
공식 코드TAda! Temporally-Adaptive Convolutions for Video Understanding
https://github.com/alibaba/Deep-Vision/tree/main/Context-Motion-Decoupling
공식 코드Self-supervised Video Representation Learning by Context and Motion Decoupling
https://github.com/alinlab/temporal-selfsupervision
공식 코드Time Is MattEr: Temporal Self-supervision for Video Transformers
https://github.com/alpha-innovator/novelseek
공식 코드https://github.com/ami-iit/paper_guo_2023_humanoids_lifting_risk_prediction
공식 코드Online Action Recognition for Human Risk Prediction with Anticipated Haptic Alert via Wearables
https://github.com/amodaresi/memllm
공식 코드MemLLM: Finetuning LLMs to Use An Explicit Read-Write Memory
https://github.com/andongdeng/bear
공식 코드https://github.com/andreYoo/PeGCNs
공식 코드Predictively Encoded Graph Convolutional Network for Noise-Robust Skeleton-based Action Recognition
https://github.com/andrea-cavallo-98/sparse-vnn
공식 코드https://github.com/andrebola/skip-challenge-wsdm
공식 코드Skip prediction using boosting trees based on acoustic features of tracks in sessions
https://github.com/anguelos/tormentor
공식 코드TorMentor: Deterministic dynamic-path, data augmentations with fractals
https://github.com/anshitag/memit_csk
공식 코드https://github.com/anshulbshah/PoseAction
공식 코드https://github.com/anshulbshah/halp
공식 코드HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions
https://github.com/antran89/two-stream-fcan
공식 코드Two-stream Flow-guided Convolutional Attention Networks for Action Recognition
https://github.com/apartresearch/specificityplus
공식 코드Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark
https://github.com/applied-machine-learning-lab/mm4ke
공식 코드https://github.com/aras62/vision-based-prediction
공식 코드https://github.com/arnab-api/romba
공식 코드https://github.com/arunos728/SELFY
공식 코드Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition
https://github.com/arvid-pku/atoke
공식 코드History Matters: Temporal Knowledge Editing in Large Language Model
https://github.com/asankagp/UAV-GESTURE
공식 코드UAV-GESTURE: A Dataset for UAV Control and Gesture Recognition
https://github.com/asankagp/mod20
공식 코드A Multi-viewpoint Outdoor Dataset for Human Action Recognition
https://github.com/asdfo123/scedit
공식 코드https://github.com/asheshjain399/RNNexp
공식 코드https://github.com/asrafulashiq/hamnet
공식 코드A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization
https://github.com/asrafulashiq/wsad
공식 코드Weakly Supervised Temporal Action Localization Using Deep Metric Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.