_ | runtime | _ |
?-RT: A | runtime | Framework to Enable Energy-Efficient Real-Time Robotic Vision Applications on Heterogeneous Architectures |
Beyond Flops In Low-Rank Compression of Neural Networks: Optimizing Device-Specific Inference | runtime | |
Bit-Mixer: Mixed-precision networks with | runtime | bit-width selection |
Compa backend: A dynamic | runtime | for the execution of dataflow programs onto multi-core platforms |
COPE: End-to-end trainable Constant | runtime | Object Pose Estimation |
Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with | runtime | Optimization |
Dynamic-OFA: | runtime | DNN Architecture Switching for Performance Scaling on Heterogeneous Embedded Platforms |
Dynamo: a | runtime | partitioning system for FPGA-based HW/SW image processing systems |
Enhancing the | runtime | of JUDOCA detector |
Fast L_1-SPIRiT Compressed Sensing Parallel Imaging MRI: Scalable Parallel Implementation and Clinically Feasible | runtime | |
Fast Matching of Planar Shapes in Sub-cubic | runtime | |
Fault Modeling Based | runtime | Diagnostic Mechanism for Vehicular Distributed Control Systems, A |
MAPLE-Edge: A | runtime | Latency Predictor for Edge Devices |
Modified pbM-Estimator Method and a | runtime | Analysis Technique for the RANSAC Family, The |
NeuFlow: A | runtime | reconfigurable dataflow processor for vision |
Performance of Multiagent Taxi Dispatch on Extended- | runtime | Taxi Availability: A Simulation Study |
Pipeline-Based Ray-Tracing | runtime | System for HSA-Compliant Frameworks, A |
Predicting Machine Learning Pipeline | runtime | s in the Context of Automated Machine Learning |
Resolution Switchable Networks for | runtime | Efficient Image Recognition |
| runtime | Integrity Monitoring Framework for Real-Time Relative Positioning Systems Based on GPS and DSRC, A |
| runtime | Network Routing for Efficient Image Classification |
| runtime | Performance Enhancement of a Superpixel Based Saliency Detection Model |
| runtime | -Scalable and Hardware-Accelerated Approach to On-Board Linear Unmixing of Hyperspectral Images, A |
23 for runtime