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awesome-multimodal-research

A curated list of Multimodal Related Research.

caffe-deconvnet

A deconvolutional network in caffe

code_zoo

condconv-pytorch

Implementation of CondConv: Conditionally Parameterized Convolutions for Efficient Inference in PyTorch.

deconvnet

DeconvNet : Learning Deconvolution Network for Semantic Segmentation

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.

deform_conv_pytorch

PyTorch Implementation of Deformable Convolution

denseaspp

DenseASPP for Semantic Segmentation in Street Scenes

dynamic-convolution-pytorch

Pytorch!!!Pytorch!!!Pytorch!!! Dynamic Convolution: Attention over Convolution Kernels (CVPR-2020)

fcn.berkeleyvision.org

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

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

focal_loss_pytorch

A PyTorch Implementation of Focal Loss.

involution

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

learngit

netwarp_public

Semantic Video CNNs through Representation Warping. ICCV 2017

pspnet

Pytorch implementation of pspnet

pspnet-pytorch

PyTorch implementation of PSPNet segmentation network

pytorch-deconvnet

Example of Deconvnet in PyTorch for VGG16

pytorch-deeplab-resnet

DeepLab resnet v2 model in pytorch

pytorch-deeplab-xception

DeepLab v3+ model in PyTorch. Support different backbones.

pytorch-distributed

A quickstart and benchmark for pytorch distributed training.

pytorch-semantic-segmentation

PyTorch for Semantic Segmentation

pytorch_refinenet

Pytorch Implementation of Refinenet

reinforcement_learning_an_introduction

Notes and exercise solutions for second edition of Sutton & Barto's book

resume

An elegant \LaTeX\ résumé template

sccn

srlh

temporal_relational_stock_ranking

Code for paper "Temporal Relational Ranking for Stock Prediction"