Computational Efficiency
843 papers with code • 0 benchmarks • 0 datasets
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Use these libraries to find Computational Efficiency models and implementationsMost implemented papers
Rethinking the Inception Architecture for Computer Vision
tensorflow/models
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CVPR 2016
Convolutional networks are at the core of most state-of-the-art computer vision solutions for a wide variety of tasks.
Attention U-Net: Learning Where to Look for the Pancreas
ozan-oktay/Attention-Gated-Networks
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We propose a novel attention gate (AG) model for medical imaging that automatically learns to focus on target structures of varying shapes and sizes.
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies
We train a student network to predict the extracted features of normal, i. e., anomaly-free training images.
Simple random search provides a competitive approach to reinforcement learning
A common belief in model-free reinforcement learning is that methods based on random search in the parameter space of policies exhibit significantly worse sample complexity than those that explore the space of actions.
Efficient Neural Network Robustness Certification with General Activation Functions
huanzhang12/CROWN-Robustness-Certification
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NeurIPS 2018
Finding minimum distortion of adversarial examples and thus certifying robustness in neural network classifiers for given data points is known to be a challenging problem.
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping
MIT-SPARK/Kimera
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We provide an open-source C++ library for real-time metric-semantic visual-inertial Simultaneous Localization And Mapping (SLAM).
PP-OCR: A Practical Ultra Lightweight OCR System
Meanwhile, several pre-trained models for the Chinese and English recognition are released, including a text detector (97K images are used), a direction classifier (600K images are used) as well as a text recognizer (17. 9M images are used).
Resurrecting Recurrent Neural Networks for Long Sequences
Recurrent Neural Networks (RNNs) offer fast inference on long sequences but are hard to optimize and slow to train.
Scalable Bayesian Rule Lists
They have a logical structure that is a sequence of IF-THEN rules, identical to a decision list or one-sided decision tree.
PointNetLK: Robust & Efficient Point Cloud Registration using PointNet
hmgoforth/PointNetLK
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CVPR 2019
To date, the successful application of PointNet to point cloud registration has remained elusive.
