giorking Goto Github PK

diracnets

Training Very Deep Neural Networks Without Skip-Connections

disco-diffusion

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

distilling-object-detectors

Implementations of CVPR 2019 paper Distilling Object Detectors with Fine-grained Feature Imitation

distributed-tutorial

Tutorial for Distributed Deep Learning on Serveral Frameworks,e.g. Keras, Tensorflow, PyTorch

dropblock

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

dsod

DSOD: Learning Deeply Supervised Object Detectors from Scratch. In ICCV 2017.

enet-training

eng-practices

Google's Engineering Practices documentation

etc-real-time-per-frame-semantic-video-segmentation

Enforcing temporal consistency in real-time per-frame semantic video segmentation

eval_kitti

Tools to evaluate object detection results using the KITTI dataset.

face-detecion-with-the-faster-r-cnn-r-fcn

Face detection with the Faster-R-CNN or R-FCN

fastannotationtool

A tool using OpenCV to annotate images for image classification, optical character reading, ...

faster-rcnn-resnet

ResNet Implementation for Faster-rcnn

fastmaskrcnn

Mask RCNN in TensorFlow

fate

An Industrial Grade Federated Learning Framework

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

foam_project

frustum-pointnets

Frustum PointNets for 3D Object Detection from RGB-D Data

ghm_detection

The implementation of “Gradient Harmonized Single-stage Detector” published on AAAI 2019.

giorking.github.io

DT's here

goturn

Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016

hackmd

ifc-ar-flood

Interactive HTML5 augmented reality flood simulation

image-to-3d-bbox

Build a CNN network to predict 3D bounding box of car from 2D image.

impl-pruning-caffemodel

Simple pruning example using Caffe

jetson-inference

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

jsartoolkit

JavaScript port of FLARToolKit

jsfeat

JavaScript Computer Vision library.

just-go-with-the-flow-self-supervised-scene-flow-estimation