Search Results for author:
Found 5 papers, 5 papers with code
MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices
We propose MnasFPN, a mobile-friendly search space for the detection head, and combine it with latency-aware architecture search to produce efficient object detection models.
Ranked #230 on
Object Detection
on COCO test-dev
Looking Fast and Slow: Memory-Guided Mobile Video Object Detection
Models and examples built with TensorFlow
Ranked #30 on
Video Object Detection
on ImageNet VID
(using extra training data)
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
The rising popularity of intelligent mobile devices and the daunting computational cost of deep learning-based models call for efficient and accurate on-device inference schemes.
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
We present a class of efficient models called MobileNets for mobile and embedded vision applications.
Ranked #238 on
Object Detection
on COCO test-dev
FaceNet: A Unified Embedding for Face Recognition and Clustering
On the widely used Labeled Faces in the Wild (LFW) dataset, our system achieves a new record accuracy of 99. 63%.
Ranked #1 on
Disguised Face Verification
on MegaFace
