Duo Li's repositories

involution

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

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mobilenetv2.pytorch

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

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mobilenetv3.pytorch

74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet

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efficientnetv2.pytorch

PyTorch implementation of EfficientNetV2 family

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octconv.pytorch

PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models

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PSConv

[ECCV 2020] PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer

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face-attribute-prediction

Face Attribute Prediction on CelebA benchmark with PyTorch Implementation

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HBONet

[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions, surpassing MobileNetV2

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ghostnet.pytorch

73.6% GhostNet 1.0x pre-trained model on ImageNet

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DHM

[CVPR 2020] Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives

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dgconv.pytorch

PyTorch implementation of Dynamic Grouping Convolution and Groupable ConvNet with pre-trained G-ResNeXt models

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regnet.pytorch

PyTorch-style and human-readable RegNet with a spectrum of pre-trained models

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lambda.pytorch

PyTorch implementation of Lambda Network and pretrained Lambda-ResNet

SAN

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

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mlp-mixer.pytorch

PyTorch implementation of MLP-Mixer

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condconv.pytorch

PyTorch implementation of CondConv and MobileNetV2 model

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mobilenext.pytorch

Rethinking Bottleneck Structure for Efficient Mobile Network Design

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dot-product-attention

A collection of self-attention modules and pre-trained backbones

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efficientnet-lite.pytorch

PyTorch implementation of EfficientNet-lite and a spectrum of pre-trained models on ImageNet

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deeplearning.ai-CNN

Implementation of course Convolutional Neural Networks created by deeplearning.ai on Coursera

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ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

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CS231n-Assignments

Assignments for Stanford CS class CS231n: Convolutional Neural Networks for Visual Recognition

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attention-transfer

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

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axial-deeplab

This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)

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LearningToCompare_FSL

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

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weakalign

End-to-end weakly-supervised semantic alignment

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