Papers with Code 아카이브

Edge-computing

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

2

평가표

0

보존된 평가 기록

0

코드

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

https://github.com/zjlab-ammi/ckim

공식 코드

Towards Commonsense Knowledge based Fuzzy Systems for Supporting Size-Related Fine-Grained Object Detection

https://gitlab.com/esrgv3/qnn-adversarial-robustness

공식 코드

David and Goliath: An Empirical Evaluation of Attacks and Defenses for QNNs at the Deep Edge

https://github.com/2023-MindSpore-1/ms-code-18/tree/main/lite-hrnet

HRNET: AI on Edge for mask detection and social distancing

https://github.com/2024-MindSpore-1/Code7/tree/main/cspdarknet53

TransVisDrone: Spatio-Temporal Transformer for Vision-based Drone-to-Drone Detection in Aerial Videos

https://github.com/COPS-IITBHU/HCSFL

Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge

https://github.com/CharlieDinh/DONE

DONE: Distributed Approximate Newton-type Method for Federated Edge Learning

https://github.com/DerrickXuNu/OpenCOOD

F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds

https://github.com/GeondoPark/attribute-preserve

Attribution Preservation in Network Compression for Reliable Network Interpretation

https://github.com/JonasGeiping/breaching

Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning

https://github.com/MatthewSZhang/ffs

Canonical-Correlation-Based Fast Feature Selection for Structural Health Monitoring

https://github.com/MindSpore-paper-code-3/code2/tree/main/cspdarknet53

TransVisDrone: Spatio-Temporal Transformer for Vision-based Drone-to-Drone Detection in Aerial Videos

https://github.com/MindSpore-scientific-2/code-9/tree/main/INR-Implicit-Neural-Representations-with-Periodic-Activation-Functions

Residual-INR: Communication Efficient On-Device Learning Using Implicit Neural Representation

https://github.com/MindSpore-scientific/code-12/tree/main/INR-Implicit-Neural-Representations-with-Periodic-Activation-Functions

Residual-INR: Communication Efficient On-Device Learning Using Implicit Neural Representation

https://github.com/Recognito-Vision/Android-FaceRecognition-FaceLivenessDetection

Combinatorial Client-Master Multiagent Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing

https://github.com/Vatsala17/Vatsala17

Decentralized Computation Offloading for Multi-User Mobile Edge Computing: A Deep Reinforcement Learning Approach

https://github.com/YeongHyeon/YeongHyeon

Feature Attenuation of Defective Representation Can Resolve Incomplete Masking on Anomaly Detection

https://github.com/azzam-alhussain/fpga-qhar

Hardware-Efficient Deconvolution-Based GAN for Edge Computing

https://github.com/biarmic/pytorch-compression-for-mcu

Efficient Neural Network Deployment for Microcontroller

https://github.com/code-implementation1/Code4/tree/main/lite-hrnet

HRNET: AI on Edge for mask detection and social distancing

https://github.com/dr-aheydari/SoftAdapt

Going Beyond Classification Accuracy Metrics in Model Compression

https://github.com/eth-pbl/tinyissimoyolo

Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO

https://github.com/flow-project/flow

DRLE: Decentralized Reinforcement Learning at the Edge for Traffic Light Control in the IoV

https://github.com/hmgxr128/mifa_code

On the Convergence of FedAvg on Non-IID Data

https://github.com/idea-research/grounded-sam-2

Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection

https://github.com/izotov93/LogNNet_Arduino

Recognition of handwritten MNIST digits on low-memory 2 Kb RAM Arduino board using LogNNet reservoir neural network

https://github.com/jackaduma/NLP4CyberSecurity

DeepBF: Malicious URL detection using Learned Bloom Filter and Evolutionary Deep Learning

https://github.com/kuleuven-micas/acco

ACCO: Automated Causal CNN Scheduling Optimizer for Real-Time Edge Accelerators

https://github.com/lzhengchun/TomoGAN

Scientific Image Restoration Anywhere

https://github.com/mit-han-lab/efficientvit

Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection

https://github.com/mtang724/Self-Balancing-Federated-Learning

Astraea: Self-balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications

https://github.com/nhatminh/FEDL

Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks

https://github.com/pinto0309/onnx2tf

A Quantization-Friendly Separable Convolution for MobileNets

https://github.com/qub-blesson/ScissionTL

ScissionLite: Accelerating Distributed Deep Neural Networks Using Transfer Layer

https://github.com/ramsesproject/TomoGAN

Scientific Image Restoration Anywhere

https://github.com/securade/hub

AxiomVision: Accuracy-Guaranteed Adaptive Visual Model Selection for Perspective-Aware Video Analytics

https://github.com/swordest/mec_drl

Decentralized Computation Offloading for Multi-User Mobile Edge Computing: A Deep Reinforcement Learning Approach

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