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ab_distillation

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)

adamp

Slowing Down the Weight Norm Increase in Momentum-based Optimizers

attention-feature-distillation

Official implementation for (Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching, AAAI-2021)

awesome-knowledge-distillation

Awesome Knowledge Distillation

bhheo.github.io

bss_distillation

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)

clovacall

ClovaCall dataset and Pytorch LAS baseline code

deit

Official DeiT repository

dmfont

Official PyTorch implementation of DM-Font (ECCV 2020)

gluon-cv

Gluon CV Toolkit

hgcae

HGCAE Pytorch implementation. CVPR2021 accepted.

knowledge_distillation_methods_wtih_tensorflow

Knowledge distillation methods implemented with Tensorflow (now there are 8 methods, and will be added more.)

light-weight-refinenet

Light-Weight RefineNet for Real-Time Semantic Segmentation

loss-landscape

Code for visualizing the loss landscape of neural nets

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

mae-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

mxfont

Official PyTorch implementation of MX-Font (Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts)

overhaul

panoptic-fpn-gluon

Panoptic Feature Pyramid Networks

pflayer

Learning Features with Parameter-Free Layers, ICLR 2022

pit

pytorch-deeplab-xception

DeepLab v3+ model in PyTorch. Support different backbones.

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

rcnn

R-CNN: Regions with Convolutional Neural Network Features

rebias

Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020

relabel_imagenet

rexnet

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

rollback

Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification (AAAI2019)

sam

SAM: Sharpness-Aware Minimization (PyTorch)

tresnet

TResNet: High Performance GPU-Dedicated Architecture