Papers with Code 아카이브

3D Action Recognition

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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/andreYoo/PeGCNs

공식 코드

Predictively Encoded Graph Convolutional Network for Noise-Robust Skeleton-based Action Recognition

https://github.com/anshitag/memit_csk

공식 코드

Editing Common Sense in Transformers

https://github.com/anshulbshah/PoseAction

공식 코드

Pose And Joint-Aware Action Recognition

https://github.com/anshulbshah/halp

공식 코드

HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions

https://github.com/apartresearch/specificityplus

공식 코드

Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark

https://github.com/applied-machine-learning-lab/mm4ke

공식 코드

Model Merging for Knowledge Editing

https://github.com/arnab-api/romba

공식 코드

Locating and Editing Factual Associations in Mamba

https://github.com/arvid-pku/atoke

공식 코드

History Matters: Temporal Knowledge Editing in Large Language Model

https://github.com/asdfo123/scedit

공식 코드

ScEdit: Script-based Assessment of Knowledge Editing

https://github.com/asheshjain399/RNNexp

공식 코드

Structural-RNN: Deep Learning on Spatio-Temporal Graphs

https://github.com/assembly101/assembly101.github.io

공식 코드

Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities

https://github.com/au-revoir/model-editing-ft

공식 코드

Model Editing by Standard Fine-Tuning

https://github.com/axd465/PAM_Deep_Learning_Undersampling_Publication

공식 코드

Reconstructing undersampled photoacoustic microscopy images using deep learning

https://github.com/azzh1/purls

공식 코드

Part-aware Unified Representation of Language and Skeleton for Zero-shot Action Recognition

https://github.com/bahjat-kawar/time-diffusion

공식 코드

Editing Implicit Assumptions in Text-to-Image Diffusion Models

https://github.com/baixianghuang/behavior-edit

공식 코드

Model Editing as a Double-Edged Sword: Steering Agent Ethical Behavior Toward Beneficence or Harm

https://github.com/bboylyg/expose-before-you-defend

공식 코드

Expose Before You Defend: Unifying and Enhancing Backdoor Defenses via Exposed Models

https://github.com/bebr2/editcot

공식 코드

Knowledge Editing through Chain-of-Thought

https://github.com/beepkh/unike

공식 코드

Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration

https://github.com/bghojogh/Fisherposes

공식 코드

Recognizing Involuntary Actions from 3D Skeleton Data Using Body States

https://github.com/bghojogh/Roweisposes

공식 코드

Roweisposes, Including Eigenposes, Supervised Eigenposes, and Fisherposes, for 3D Action Recognition

https://github.com/bigai-ai/ICE

공식 코드

In-Context Editing: Learning Knowledge from Self-Induced Distributions

https://github.com/bmartacho/UniPose

공식 코드

UniPose: Unified Human Pose Estimation in Single Images and Videos

https://github.com/bruthyu/melo

공식 코드

MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA

https://github.com/buptsjzhang/std-cl

공식 코드

Spatial-Temporal Decoupling Contrastive Learning for Skeleton-based Human Action Recognition

https://github.com/buptsjzhang/ta-mlp

공식 코드

SiT-MLP: A Simple MLP with Point-wise Topology Feature Learning for Skeleton-based Action Recognition

https://github.com/byronbbl/deck

공식 코드

Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts

https://github.com/canbaoburen/CoDT

공식 코드

Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action Recognition

https://github.com/cap-ntu/ML-Model-CI

공식 코드

ModelPS: An Interactive and Collaborative Platform for Editing Pre-trained Models at Scale

https://github.com/carloscaetano/skeleton-images

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SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action Recognition

https://github.com/caskcsg/lyaplock

공식 코드

LyapLock: Bounded Knowledge Preservation in Sequential Large Language Model Editing

https://github.com/changchangsun/forget-vector

공식 코드

Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification

https://github.com/chenhuihu/knowledge_in_superposition

공식 코드

Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models

https://github.com/chenhuihu/wilke

공식 코드

WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing

https://github.com/chenmientan/malmen

공식 코드

Massive Editing for Large Language Models via Meta Learning

https://github.com/chenyirui/gim

공식 코드

GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization

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