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awesome-model-quantization icon awesome-model-quantization

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

awesome-rnn icon awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

bagsfit icon bagsfit

Primitive Fitting Using Deep Boundary Aware Geometric Segmentation

bevdet icon bevdet

Official code base of the BEVDet series .

bisenet icon bisenet

mIOU=78.4 on cityscapes. My implementation of paper: BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

brecq icon brecq

Pytorch implementation of BRECQ, ICLR 2021

caffe-model icon caffe-model

Python script to generate prototxt on Caffe, specially the inception_v3 \ inception_v4 \ inception_resnet \ fractalnet

caffe-segnet icon caffe-segnet

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

calibtip icon calibtip

Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming

calibtip-1 icon calibtip-1

Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming

camconvs icon camconvs

Code for the CVPR paper "CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth"

camodocal icon camodocal

CamOdoCal: Automatic Intrinsic and Extrinsic Calibration of a Rig with Multiple Generic Cameras and Odometry

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