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awesome-meta-learning icon awesome-meta-learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

caffe-spn icon caffe-spn

Codes for Learning Affinity via Spatial Propagation Networks

ccnet icon ccnet

CCNet achieves the state-of-the-art performance on Cityscapes and ADE20K.

centernet icon centernet

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

deepfi icon deepfi

An Indoor Fingerprinting Localization Algorithm which uses CSI from wifi

deeplabv3plus-pytorch icon deeplabv3plus-pytorch

Here is a pytorch implementation of deeplabv3+ supporting ResNet(79.155%) and Xception(79.945%). Multi-scale & flip test and COCO dataset interface has been finished.

detectron2 icon detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

drn-mxnet icon drn-mxnet

Dense Relation Network: Learning Consistent and Context-Aware Representation For Semantic Image Segmentation. Modification of DRN source code

fishnet icon fishnet

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskrcnn-benchmark icon maskrcnn-benchmark

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

meta-sgd icon meta-sgd

Meta-SGD experiment on Omniglot classification compared with MAML

psmnet icon psmnet

Pyramid Stereo Matching Network (CVPR2018)

py-faster-rcnn icon py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pytorchinsight icon pytorchinsight

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

segloss icon segloss

A collection of loss functions for medical image segmentation

semanticsoftsegmentation icon semanticsoftsegmentation

Spectral segmentation described in Aksoy et al., "Semantic Soft Segmentation", ACM TOG (Proc. SIGGRAPH), 2018

senet icon senet

Squeeze-and-Excitation Networks

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