https://github.com/SimonThomine/DistillationAD
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies
Papers with Code 아카이브
Computational Efficiency
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Methods and optimizations to reduce the computational resources (e.g., time, memory, or power) needed for training and inference in models. This involves techniques that streamline processing, optimize algorithms, or leverage hardware to enhance performance without compromising accuracy.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/SonwYang/building-extraction
https://github.com/SophiaYuSophiaYu/ImageCaption
https://github.com/SoulProficiency/speechseparation-Sandglasset
Sandglasset: A Light Multi-Granularity Self-attentive Network For Time-Domain Speech Separation
https://github.com/Spider-scnu/Instance-Segmentation-For-Cancer
https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
Simple random search provides a competitive approach to reinforcement learning
https://github.com/SuchinW/Diff-GO-n
Diff-GO$^\text{n}$: Enhancing Diffusion Models for Goal-Oriented Communications
https://github.com/Sudhir22/conformalInference
https://github.com/Sunil4423/-cassava_disease_classification
https://github.com/SzuPc/mindspore-UnetAG
https://github.com/TejasAnvekar/Mahalanobis-k-NN
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning
https://github.com/ThanasisMattas/smartflow
https://github.com/TheInfamousWayne/UNet
https://github.com/Tinker-Twins/Behavioral-Cloning-Simulator
Robust Behavioral Cloning for Autonomous Vehicles using End-to-End Imitation Learning
https://github.com/ToniRV/Kimera-VIO-Evaluation
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping
https://github.com/Trustworthy-ML-Lab/Interpretability-Guided-Defense
Efficient and Effective Augmentation Strategy for Adversarial Training
https://github.com/Tuofengalways/ee_Model
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
https://github.com/UnofficialJuliaMirror/DeepMark-deepmark
https://github.com/UnofficialJuliaMirrorSnapshots/DeepMark-deepmark
https://github.com/Urmil28/Medical-Image-Analysis
https://github.com/VLOGroup/mri-variationalnetwork
On learning optimized reaction diffusion processes for effective image restoration
https://github.com/VLOGroup/tensorflow-icg
On learning optimized reaction diffusion processes for effective image restoration
https://github.com/VealFang/EfficientAD_realdata
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies
https://github.com/Verified-Intelligence/alpha-beta-CROWN_vnncomp2024
Efficient Neural Network Robustness Certification with General Activation Functions
https://github.com/WS-W/EfficientAD
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies
https://github.com/WenjieDu/PyPOTS
TSLANet: Rethinking Transformers for Time Series Representation Learning
https://github.com/Westlake-AI/openmixup
https://github.com/WestlakeIntelligentRobotics/Global-Local-MAV-Detection
Global-Local MAV Detection under Challenging Conditions based on Appearance and Motion
https://github.com/XueningZhu/dlsa_r
https://github.com/XuezheMax/wolf
https://github.com/ZAX130/SmileCode
https://github.com/ZKangsen/GCNv2_SLAM_ROS
GCNv2: Efficient Correspondence Prediction for Real-Time SLAM
https://github.com/Zaza-97/EfficientAD
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies
https://github.com/ZhaoyangLyu/FROWN
Efficient Neural Network Robustness Certification with General Activation Functions
https://github.com/Zhongyang-debug/Sandglasset-A-Light-Multi-Granularity-Self-Attentive-Network-For-Time-Domain-Speech-Separation
Sandglasset: A Light Multi-Granularity Self-attentive Network For Time-Domain Speech Separation
https://github.com/aalanwar/Secure-Set-Based-Estimation
Resilient Set-based State Estimation for Linear Time-Invariant Systems Using Zonotopes
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.