Papers with Code 아카이브

3D Action Recognition

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

6

평가표

3

보존된 평가 기록

13

코드

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

https://github.com/skelemoa/ntu-x

공식 코드

NTU-X: An Enhanced Large-scale Dataset for Improving Pose-based Recognition of Subtle Human Actions

https://github.com/skelemoa/psumnet

공식 코드

PSUMNet: Unified Modality Part Streams are All You Need for Efficient Pose-based Action Recognition

https://github.com/skelemoa/quovadis

공식 코드

Quo Vadis, Skeleton Action Recognition ?

https://github.com/skelemoa/synse-zsl

공식 코드

Syntactically Guided Generative Embeddings for Zero-Shot Skeleton Action Recognition

https://github.com/skylark0924/rofunc

공식 코드

Human-Humanoid Robots Cross-Embodiment Behavior-Skill Transfer Using Decomposed Adversarial Learning from Demonstration

https://github.com/songxiaoshuai/postedit

공식 코드

Knowledge Editing on Black-box Large Language Models

https://github.com/sperimental3/charon

공식 코드

Mask and Compress: Efficient Skeleton-based Action Recognition in Continual Learning

https://github.com/srijandas07/VPN

공식 코드

VPN: Learning Video-Pose Embedding for Activities of Daily Living

https://github.com/srijandas07/vpnplusplus

공식 코드

VPN++: Rethinking Video-Pose embeddings for understanding Activities of Daily Living

https://github.com/stanfordnlp/pyvene

공식 코드

pyvene: A Library for Understanding and Improving PyTorch Models via Interventions

https://github.com/steveliao93/gcn_logsigrnn

공식 코드

Logsig-RNN: a novel network for robust and efficient skeleton-based action recognition

https://github.com/stnoah1/infogcn2

공식 코드

InfoGCN++: Learning Representation by Predicting the Future for Online Human Skeleton-based Action Recognition

https://github.com/stnoah1/sode

공식 코드

InfoGCN++: Learning Representation by Predicting the Future for Online Human Skeleton-based Action Recognition

https://github.com/stoa-xh91/acfl

공식 코드

Skeleton-based Action Recognition via Adaptive Cross-Form Learning

https://github.com/sunzhihao18/ForgerySleuth

공식 코드

ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection

https://github.com/sycny/rae

공식 코드

Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering

https://github.com/syon-li/coachhook

공식 코드

Consecutive Batch Model Editing with HooK Layers

https://github.com/tailin1009/dualhead-network

공식 코드

Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition

https://github.com/tal-aurorax/scen

공식 코드

Scalable Model Editing via Customized Expert Networks

https://github.com/tecsar-uncc/adg-pose

공식 코드

ADG-Pose: Automated Dataset Generation for Real-World Human Pose Estimation

https://github.com/thartvigsen/grace

공식 코드

Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors

https://github.com/thu-keg/event-level-knowledge-editing

공식 코드

Event-level Knowledge Editing

https://github.com/thunlp/eren

공식 코드

Robust and Scalable Model Editing for Large Language Models

https://github.com/tigerchen52/qrneuron

공식 코드

Identifying Query-Relevant Neurons in Large Language Models for Long-Form Texts

https://github.com/tkipf/pygcn

공식 코드

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/tonychenxyz/vit-interpret

공식 코드

Interpreting and Controlling Vision Foundation Models via Text Explanations

https://github.com/uiuctml/TaskVectorBasis

공식 코드

Efficient Model Editing with Task Vector Bases: A Theoretical Framework and Scalable Approach

https://github.com/uppaal/detox-edit

공식 코드

Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity

https://github.com/vaidehi99/infodeletionattacks

공식 코드

Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks

https://github.com/vicky-wil/remake

공식 코드

Retrieval-augmented Multilingual Knowledge Editing

https://github.com/vishal3477/proactive_imd

공식 코드

Proactive Image Manipulation Detection

https://github.com/vlkeb/vlkeb

공식 코드

VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark

https://github.com/vvhj/tsgcnext

공식 코드

TSGCNeXt: Dynamic-Static Multi-Graph Convolution for Efficient Skeleton-Based Action Recognition with Long-term Learning Potential

https://github.com/wangbing1416/hami-m3d

공식 코드

Harmfully Manipulated Images Matter in Multimodal Misinformation Detection

https://github.com/wangyu-ustc/largescalewashing

공식 코드

Large Scale Knowledge Washing

https://github.com/wangyu-ustc/memoryllm

공식 코드

MEMORYLLM: Towards Self-Updatable Large Language Models

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.