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Stars5
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Rank 2,847,211 (Top 57 %)
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LanguagePython
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Created almost 7 years ago
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Updated over 6 years ago
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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 ShuffleNetTraining-Tricks-for-Binarized-Neural-Networks
The collection of training tricks of binarized neural networks.Location-aware-Upsampling-for-Semantic-Segmentation
The Pytorch implementation of "Location-aware Upsampling for Semantic Segmentation" (LaU)SNNs-Self-Normalizing-Neural-Networks-Caffe-Reimplementation
Caffe re-implementation of SNNs.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.Zero-shot-Style-Transfer-via-Attention-Rearrangement
Official implementation of the paper "Zā: Zero-shot Style Transfer via Attention Rearrangement" a.k.a. "Zā: Zero-shot Style Transfer via Attention Reweighting" (CVPR2024)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 paramsAlexNet-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).Bias-Variance-Decomposition-for-KL-Divergence
This repository includes some detailed proofs of "Bias Variance Decomposition for KL Divergence".Love Open Source and this site? Check out how you can help us
