Papers with Code 아카이브

3D Action Recognition

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하위 태스크

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평가표

3

보존된 평가 기록

13

코드

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

https://github.com/madrylab/modelcomponents

공식 코드

Decomposing and Editing Predictions by Modeling Model Computation

https://github.com/mail-research/cad-attribution4diffusion

공식 코드

Unveiling Concept Attribution in Diffusion Models

https://github.com/maoyunyao/cmd

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CMD: Self-supervised 3D Action Representation Learning with Cross-modal Mutual Distillation

https://github.com/maoyunyao/mamp

공식 코드

Masked Motion Predictors are Strong 3D Action Representation Learners

https://github.com/martinxm/gap

공식 코드

Generative Action Description Prompts for Skeleton-based Action Recognition

https://github.com/martinxm/lst

공식 코드

Generative Action Description Prompts for Skeleton-based Action Recognition

https://github.com/mcgill-nlp/logicalknowedit

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Evaluating Dependencies in Fact Editing for Language Models: Specificity and Implication Awareness

https://github.com/mdeff/cnn_graph

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Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

https://github.com/mduhme/fusion-gcn

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Fusion-GCN: Multimodal Action Recognition using Graph Convolutional Networks

https://github.com/metrics-lab/st-fmri

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Improving Phenotype Prediction using Long-Range Spatio-Temporal Dynamics of Functional Connectivity

https://github.com/microsoft/SGN

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Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition

https://github.com/microsoft/View-Adaptive-Neural-Networks-for-Skeleton-based-Human-Action-Recognition

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View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data

https://github.com/microsoft/tensorwatch

공식 코드

A System for Real-Time Interactive Analysis of Deep Learning Training

https://github.com/miulab/editllm-survey

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Editing the Mind of Giants: An In-Depth Exploration of Pitfalls of Knowledge Editing in Large Language Models

https://github.com/mjkwon2021/cat-net

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Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization

https://github.com/mjy1111/bake

공식 코드

Untying the Reversal Curse via Bidirectional Language Model Editing

https://github.com/mjy1111/peak

공식 코드

Neighboring Perturbations of Knowledge Editing on Large Language Models

https://github.com/mjy1111/prune

공식 코드

Perturbation-Restrained Sequential Model Editing

https://github.com/ml-postech/skeleton-anonymization

공식 코드

Anonymization for Skeleton Action Recognition

https://github.com/moonlight52137/st-vgcn

공식 코드

Improving Skeleton-based Action Recognition with Interactive Object Information

https://github.com/nbahador/-fine_tuned_gpt2_model_on_epilepsy_related_pubmed_abstracts

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Localized Definitions and Distributed Reasoning: A Proof-of-Concept Mechanistic Interpretability Study via Activation Patching

https://github.com/nervjack2/propertyneurons

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Property Neurons in Self-Supervised Speech Transformers

https://github.com/nifangbaage/explicit-visual-prompt

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Explicit Visual Prompting for Low-Level Structure Segmentations

https://github.com/nihaomiao/wacv23_tsnet

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Cross-identity Video Motion Retargeting with Joint Transformation and Synthesis

https://github.com/nlpkeg/D4S

공식 코드

Reasons and Solutions for the Decline in Model Performance after Editing

https://github.com/nntanaka/Fourier-Analysis-for-Skeleton-based-Action-Recognition

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Fourier Analysis on Robustness of Graph Convolutional Neural Networks for Skeleton-based Action Recognition

https://github.com/noboevbo/ehpi_action_recognition

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Simple yet efficient real-time pose-based action recognition

https://github.com/oliverhxh/skeletongcl

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Graph Contrastive Learning for Skeleton-based Action Recognition

https://github.com/opanhw/FiNE

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Precise Localization of Memories: A Fine-grained Neuron-level Knowledge Editing Technique for LLMs

https://github.com/opanhw/MM_Neurons

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Finding and Editing Multi-Modal Neurons in Pre-Trained Transformers

https://github.com/opengvlab/hulk

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Hulk: A Universal Knowledge Translator for Human-Centric Tasks

https://github.com/opengvlab/humanbench

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Hulk: A Universal Knowledge Translator for Human-Centric Tasks

https://github.com/ostadabbas/video-based-infant-action-recognition

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Challenges in Video-Based Infant Action Recognition: A Critical Examination of the State of the Art

https://github.com/osvai/ske2grid

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Ske2Grid: Skeleton-to-Grid Representation Learning for Action Recognition

https://github.com/outsiders17711/e2eet-skeleton-based-hgr-using-data-level-fusion

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Real-Time Hand Gesture Recognition: Integrating Skeleton-Based Data Fusion and Multi-Stream CNN

https://github.com/ouxiang-li/speed

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SPEED: Scalable, Precise, and Efficient Concept Erasure for Diffusion Models

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