YaohangHan

YaohangHan

Geek Repo

Location:Beijing

Home Page:YaohangHan.github.io

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YaohangHan's repositories

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

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Bilinear-CNN-TensorFlow

This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.

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brpc_faiss_server

Vector Search Engine base on BRPC + FAISS

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deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

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Deep-Model-Transfer

A method for Fine-Grained image classification

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Fine_Grained_Classification

Fined grained classification On Car dataset

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keypoint-network

This is an implementation of the keypoint network proposed in "Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning [pdf]". Given a single 2D image of a known class, this network can predict a set of 3D keypoints that are consistent across viewing angles of the same object and across object instances. These keypoints and their detectors are discovered and learned automatically without keypoint location supervision [demo].

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machinelearninginaction

Source Code for the book: Machine Learning in Action published by Manning

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maskrcnn-benchmark

Fast, modular reference implementation of Semantic Segmentation and Object Detection algorithms in PyTorch.

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models

Models and examples built with TensorFlow

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mx-DeepIM

Deep Iterative Matching for 6D Pose Estimation

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pvnet

Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral

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S2S_TriggerWordsDetetion

Sequence to sequence recurrent neural network for detecting trigger word

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samples-for-ai

Samples for getting started with deep learning across TensorFlow, CNTK, Theano and more.

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singleshotpose

This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR 2018. (https://arxiv.org/abs/1711.08848).

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st-resnet

Code release for "Spatiotemporal Residual Networks for Video Action Recognition", NIPS16 & "Spatiotemporal Multiplier Networks for Video Action Recognition", CVPR17.

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supervisely-tutorials

🌈 Tutorials for Supervise.ly

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tensorflow-tutorial

Code and examples for Initialized's Introduction to Tensorflow Tutorial

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