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Efficient Neural Network

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

https://github.com/ches-001/audio-segmenter

Harmonic Loss Trains Interpretable AI Models

https://github.com/code-implementation1/Code1/tree/main/ECENet

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/code-implementation1/Code3/tree/main/E-NET

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/davidtvs/PyTorch-ENet

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/diff7/DARTS-devices

QuantNAS for super resolution: searching for efficient quantization-friendly architectures against quantization noise

https://github.com/e-lab/ENet-training

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/etzinis/unsup_speech_enh_adaptation

Sudo rm -rf: Efficient Networks for Universal Audio Source Separation

https://github.com/facebookresearch/mobile-vision

ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation

https://github.com/federicopozzi33/MobileOne-PyTorch

MobileOne: An Improved One millisecond Mobile Backbone

https://github.com/fregu856/deeplabv3

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/fregu856/segmentation

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/frgfm/Holocron

MobileOne: An Improved One millisecond Mobile Backbone

https://github.com/gevero/enet_tensorflow

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/gjy3035/enet.pytorch

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/gtakos-ai/ENet

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/huanzhang12/CROWN-IBP

Efficient Neural Network Robustness Certification with General Activation Functions

https://github.com/huanzhang12/CertifiedReLURobustness

Efficient Neural Network Robustness Certification with General Activation Functions

https://github.com/huanzhang12/RecurJac

Efficient Neural Network Robustness Certification with General Activation Functions

https://github.com/huanzhang12/RecurJac-Jacobian-Bounds

Efficient Neural Network Robustness Certification with General Activation Functions

https://github.com/huanzhang12/RecurJac-and-CROWN

Efficient Neural Network Robustness Certification with General Activation Functions

https://github.com/huanzhang12/alpha-beta-CROWN

Efficient Neural Network Robustness Certification with General Activation Functions

https://github.com/huanzhang12/sa_ppo

Efficient Neural Network Robustness Certification with General Activation Functions

https://github.com/hustlingfive/deepks-flow

DeePKS+ABACUS as a Bridge between Expensive Quantum Mechanical Models and Machine Learning Potentials

https://github.com/hustvl/YOLOP

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/hustvl/yolop

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/iArunava/ENet-Real-Time-Semantic-Segmentation

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/igorracca/trafficObjectsSegmentation_ENet

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/james77777778/keras-image-models

MobileOne: An Improved One millisecond Mobile Backbone

https://github.com/jiayuanwang-jw/yolov8-multi-task

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/jjeamin/Network_Trimming_Pytorch

Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

https://github.com/kingcong/gpu_E-NET

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/klintan/lanenet-pytorch

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/klintan/pytorch-lanenet

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/kwotsin/TensorFlow-ENet

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/linrongc/youtube-8m

NeXtVLAD: An Efficient Neural Network to Aggregate Frame-level Features for Large-scale Video Classification

https://github.com/m273033/masters_thesis

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

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