Pinned Repositories
efficientnetv2.pytorch
PyTorch implementation of EfficientNetV2 family
face-attribute-prediction
Face Attribute Prediction on CelebA benchmark with PyTorch Implementation
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
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
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
SAN
[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images
d-li14's Repositories
d-li14/involution
[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
d-li14/mobilenetv2.pytorch
72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models
d-li14/mobilenetv3.pytorch
74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet
d-li14/efficientnetv2.pytorch
PyTorch implementation of EfficientNetV2 family
d-li14/octconv.pytorch
PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models
d-li14/PSConv
[ECCV 2020] PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer
d-li14/face-attribute-prediction
Face Attribute Prediction on CelebA benchmark with PyTorch Implementation
d-li14/HBONet
[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions, surpassing MobileNetV2
d-li14/ghostnet.pytorch
73.6% GhostNet 1.0x pre-trained model on ImageNet
d-li14/DHM
[CVPR 2020] Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives
d-li14/dgconv.pytorch
PyTorch implementation of Dynamic Grouping Convolution and Groupable ConvNet with pre-trained G-ResNeXt models
d-li14/regnet.pytorch
PyTorch-style and human-readable RegNet with a spectrum of pre-trained models
d-li14/lambda.pytorch
PyTorch implementation of Lambda Network and pretrained Lambda-ResNet
d-li14/SAN
[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images
d-li14/condconv.pytorch
PyTorch implementation of CondConv and MobileNetV2 model
d-li14/mlp-mixer.pytorch
PyTorch implementation of MLP-Mixer
d-li14/mobilenext.pytorch
Rethinking Bottleneck Structure for Efficient Mobile Network Design
d-li14/dot-product-attention
A collection of self-attention modules and pre-trained backbones
d-li14/efficientnet-lite.pytorch
PyTorch implementation of EfficientNet-lite and a spectrum of pre-trained models on ImageNet
d-li14/deeplearning.ai-CNN
Implementation of course Convolutional Neural Networks created by deeplearning.ai on Coursera
d-li14/ssd.pytorch
A PyTorch Implementation of Single Shot MultiBox Detector
d-li14/attention-transfer
Improving Convolutional Networks via Attention Transfer (ICLR 2017)
d-li14/axial-deeplab
This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)
d-li14/d-li14
d-li14/few-shot-gnn
d-li14/LearningToCompare_FSL
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
d-li14/mmpretrain
OpenMMLab Pre-training Toolbox and Benchmark
d-li14/UniAD
[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving
d-li14/weakalign
End-to-end weakly-supervised semantic alignment