https://github.com/haohuang2003/sfhead
공식 코드Synchronized and Fine-Grained Head for Skeleton-Based Ambiguous Action Recognition
Papers with Code 아카이브
3D Action Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Image: Rahmani et al
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/hartvigsen-group/composable-interventions
공식 코드https://github.com/hehefan/Point-Spatio-Temporal-Convolution
공식 코드PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences
https://github.com/heleiqiu/sttformer
공식 코드Spatio-Temporal Tuples Transformer for Skeleton-Based Action Recognition
https://github.com/heng840/amig
공식 코드https://github.com/hengrui-gu/pokemqa
공식 코드PokeMQA: Programmable knowledge editing for Multi-hop Question Answering
https://github.com/hengrui-gu/t2iknowledgeediting
공식 코드https://github.com/hi-archers/mlake
공식 코드MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models
https://github.com/hikvision-research/skelact
공식 코드Skeleton-based Action Recognition with Convolutional Neural Networks
https://github.com/hiyouga/llama-factory
공식 코드Time Sensitive Knowledge Editing through Efficient Finetuning
https://github.com/hlcdyy/pan-motion-retargeting
공식 코드Pose-aware Attention Network for Flexible Motion Retargeting by Body Part
https://github.com/hoagyc/sparse_coding
공식 코드Sparse Autoencoders Find Highly Interpretable Features in Language Models
https://github.com/holi-lab/core
공식 코드https://github.com/holzbock/st_mlp
공식 코드A Spatio-Temporal Multilayer Perceptron for Gesture Recognition
https://github.com/hongyan1123/skeletonmae
공식 코드SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training
https://github.com/huangxiusheng/dem
공식 코드https://github.com/huiguanlab/hico
공식 코드Hierarchical Contrast for Unsupervised Skeleton-based Action Representation Learning
https://github.com/hulianyuyy/STGAT
공식 코드Spatial Temporal Graph Attention Network for Skeleton-Based Action Recognition
https://github.com/hustyyq/where-to-edit
공식 코드https://github.com/ideal-idea/sap
공식 코드https://github.com/idt-iti/mmfusion-iml
공식 코드MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization
https://github.com/iesymiao/cd-gcn
공식 코드A Central Difference Graph Convolutional Operator for Skeleton-Based Action Recognition
https://github.com/iit-pavis/uhar_skeletal_laplacian
공식 코드https://github.com/interpretml/gam-changer
공식 코드Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values
https://github.com/interpretml/interpret
공식 코드Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values
https://github.com/iurada/talos-task-arithmetic
공식 코드Efficient Model Editing with Task-Localized Sparse Fine-tuning
https://github.com/jackyjsy/CVPR21Chal-SLR
공식 코드https://github.com/jackyjsy/sam-slr-v2
공식 코드Sign Language Recognition via Skeleton-Aware Multi-Model Ensemble
https://github.com/jasonforjoy/model-editing-hurt
공식 코드Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
https://github.com/jemoka/dropfree
공식 코드https://github.com/jiaangl/elder
공식 코드ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA
https://github.com/jiakuan929/superficial-editing
공식 코드Revealing the Deceptiveness of Knowledge Editing: A Mechanistic Analysis of Superficial Editing
https://github.com/jianghoucheng/alphaedit
공식 코드AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models
https://github.com/jianghoucheng/nse
공식 코드https://github.com/jianglongye/cgf
공식 코드Learning Continuous Grasping Function with a Dexterous Hand from Human Demonstrations
https://github.com/jingyaojade/SpSt-GCN
공식 코드Skeleton-Based Action Recognition with Spatial-Structural Graph Convolution
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.