d-li14 Goto Github PK

attention-transfer

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

axial-deeplab

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

condconv.pytorch

PyTorch implementation of CondConv and MobileNetV2 model

d-li14

deeplearning.ai-cnn

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

dgconv.pytorch

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

dhm

[CVPR 2020] Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives

dot-product-attention

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

efficientnet-lite.pytorch

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

efficientnetv2.pytorch

PyTorch implementation of EfficientNetV2 family

face-attribute-prediction

Face Attribute Prediction on CelebA benchmark with PyTorch Implementation

few-shot-gnn

ghostnet.pytorch

73.6% GhostNet 1.0x pre-trained model on ImageNet

hbonet

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

involution

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

lambda.pytorch

PyTorch implementation of Lambda Network and pretrained Lambda-ResNet

learningtocompare_fsl

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

mlp-mixer.pytorch

PyTorch implementation of MLP-Mixer

mmpretrain

OpenMMLab Pre-training Toolbox and Benchmark

mobilenetv2.pytorch

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

mobilenetv3.pytorch

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

mobilenetv4.pytorch

PyTorch implementation of MobileNetV4 family

mobilenext.pytorch

Rethinking Bottleneck Structure for Efficient Mobile Network Design

octconv.pytorch

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

psconv

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

regnet.pytorch

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

san

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

ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

uniad

[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving

weakalign

End-to-end weakly-supervised semantic alignment