rongchangzhao Goto Github PK

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

mix-and-match

mlnd

Udacity Machine Learning Nano Degree Courses

mnet_deepcdr

Code for TMI 2018 "Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation"

mobilenet-caffe

Caffe Implementation of Google's MobileNets (v1 and v2)

models

Models and examples built with TensorFlow

mrcnn-object-detection

Object detection via a multi-region & semantic segmentation-aware CNN model

mscnn

multimodal_dictionary_learning

The code for the paper "Multimodal Task-driven Dictionary Learning for Image Classification".

multiobjectiveoptimization

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

multipathnet

A Torch implementation of the object detection network from "A MultiPath Network for Object Detection" (https://arxiv.org/abs/1604.02135)

mx-maskrcnn

A MXNet implementation of Mask R-CNN

mxnet

mxnet-the-straight-dope

An interactive book on deep learning. Much easy, so MXNet. Wow.

netdissect

Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.

neurips-2020-paper-statistics

Statistics and Visualization of acceptance rate, main keyword of NeurIPS 2020 accepted papers

nmflib

Automatically exported from code.google.com/p/nmflib

objectness

BING Objectness proposal estimator linux/mac/windows version implementation, runs at 1000 FPS. More in http://mmcheng.net/bing/ and also http://www.robots.ox.ac.uk/~szheng/DepthProposals.html

ocnet

OCNet achieves the state-of-the-art scene parsing performance on both Cityscapes and ADE20K.

oef

Oriented Edge Forests for Boundary Detection

oicr

Codes for our paper "Multiple Instance Detection Network with Online Instance Classifier Refinement" and "PCL: Proposal Cluster Learning for Weakly Supervised Object Detection".

paper_reading_list

Recommended Papers. Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Learning (cs.LG)

pgmpy

Python Library for Probabilistic Graphical Models

posal

Code for pOSAL

powerful-gnns

How Powerful are Graph Neural Networks?

prml

PRML algorithms implemented in Python

prmlt

Pattern Recognition and Machine Learning Toolbox

psanet

PSANet: Point-wise Spatial Attention Network for Scene Parsing, ECCV2018.

pspnet

Pyramid Scene Parsing Network

pva-faster-rcnn

Demo code for PVANET