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awesome-nas icon awesome-nas

A curated list of neural architecture search (NAS) resources.

centernet icon centernet

Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

centernet-1 icon centernet-1

Object detection, 3D detection, and pose estimation using center point detection:

cfnet icon cfnet

[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..

dain icon dain

Depth-Aware Video Frame Interpolation (CVPR 2019)

darts icon darts

Differentiable architecture search for convolutional and recurrent networks

dcfnet icon dcfnet

DCFNet: Discriminant Correlation Filters Network for Visual Tracking

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

deeppose_tf icon deeppose_tf

DeepPose implementation on TensorFlow. Original Paper http://arxiv.org/abs/1312.4659

detectandtrack icon detectandtrack

The implementation of an algorithm presented in the CVPR18 paper: "Detect-and-Track: Efficient Pose Estimation in Videos"

extremenet icon extremenet

Bottom-up Object Detection by Grouping Extreme and Center Points

flownet2-pytorch-wjb icon flownet2-pytorch-wjb

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

gdas icon gdas

PyTorch implementation of "Searching for A Robust Neural Architecture in Four GPU Hours", CVPR 2019

gnet-pose icon gnet-pose

Source code release of the paper: Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation.

imgaug icon imgaug

Image augmentation for machine learning experiments.

joint-cnn-mrf icon joint-cnn-mrf

Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation

pose-ae-train icon pose-ae-train

Training code for "Associative Embedding: End-to-End Learning for Joint Detection and Grouping"

pwc-net icon pwc-net

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

py-motmetrics icon py-motmetrics

:bar_chart: Benchmark multiple object trackers (MOT) in Python

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