HolmesShuan/Training-Tricks-for-Binarized-Neural-Networks

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HolmesShuan/Training-Tricks-for-Binarized-Neural-Networks

HolmesShuan

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The collection of training tricks of binarized neural networks.

ResNet-18-Caffemodel-on-ImageNet

ResNet-18 Caffemodel @ilsvrc12 shrt 256 with Top-1 69% Top-5 89%

CNN-Inference-Engine-Quick-View

A quick view of high-performance convolution neural networks (CNNs) inference engines on mobile devices.

OISR-PyTorch

PyTorch implementation of "ODE-inspired Network Design for Single Image Super-Resolution"(CVPR2019)

ShuffleNet-An-Extremely-Efficient-CNN-for-Mobile-Devices-Caffe-Reimplementation

Caffe re-implementation of ShuffleNet

Location-aware-Upsampling-for-Semantic-Segmentation

The Pytorch implementation of "Location-aware Upsampling for Semantic Segmentation" (LaU)

Jupyter Notebook

SNNs-Self-Normalizing-Neural-Networks-Caffe-Reimplementation

Caffe re-implementation of SNNs.

Zero-shot-Style-Transfer-via-Attention-Rearrangement

Official implementation of the paper "Z∗: Zero-shot Style Transfer via Attention Rearrangement" a.k.a. "Z∗: Zero-shot Style Transfer via Attention Reweighting" (CVPR2024)

EDSR-ssim

Different SSIM metrics in CNN-based super resolution algorithms (e.g., EDSR CVPRW2017, RDN CVPR2018, MSRN ECCV2018).

Caffe-Computation-Graph-Optimization

Caffe Computation Graph Optimization.

K-Nearest-Neighbors-Hashing

Matlab implementation of "K-Nearest Neighbors Hashing" (CVPR2019)

Compact-Global-Descriptor

Pytorch implementation of "Compact Global Descriptor for Neural Networks" (CGD).

AIM2020-Real-Super-Resolution

Our solution to AIM2020 Real Image Super-Resolution Challenge (x2)

Dynamic-Network-Surgery-Caffe-Reimplementation

Caffe re-implementation of dynamic network surgery.

A-Variation-of-Dice-coefficient-Loss-Caffe-Layer

Compute the variation of dice coefficient loss for real-value regression task.

Optimal-Ternary-Weights-Approximation

Caffe implementation of Optimal-Ternary-Weights-Approximation in "Two-Step Quantization for Low-bit Neural Networks" (CVPR2018).

PyTorch-MixNet-SS

Extremely light-weight MixNet with Top-1 75.7% and 2.5M params

AlexNet-BN-Caffemodel-on-ImageNet

AlexNet-BN Caffemodel @ilsvrc12 shrt 256 with Top-1 60.43% Top-5 82.47%

UCAS-Pattern-Recognition

The implementations of programming homeworks in UCAS PR class. (Autumn 2017-2018).

Label-free-Network-Compression

Caffe implementation of "Learning Compression from Limited Unlabeled Data" (ECCV2018).

News-Spider

Tencent NetEase SouHu etc. news spider. Including date, title, body and comments of the news.

Bias-Variance-Decomposition-for-KL-Divergence

This repository includes some detailed proofs of "Bias Variance Decomposition for KL Divergence".