bhheo's repositories

AB_distillation

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

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BSS_distillation

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

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Knowledge_distillation_methods_wtih_Tensorflow

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

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attention-feature-distillation

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

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HGCAE

HGCAE Pytorch implementation. CVPR2021 accepted.

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mxfont

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

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vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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AdamP

Slowing Down the Weight Norm Increase in Momentum-based Optimizers

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awesome-knowledge-distillation

Awesome Knowledge Distillation

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ClovaCall

ClovaCall dataset and Pytorch LAS baseline code

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dmfont

Official PyTorch implementation of DM-Font (ECCV 2020)

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gluon-cv

Gluon CV Toolkit

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light-weight-refinenet

Light-Weight RefineNet for Real-Time Semantic Segmentation

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loss-landscape

Code for visualizing the loss landscape of neural nets

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mae

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

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MAE-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

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panoptic-fpn-gluon

Panoptic Feature Pyramid Networks

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pytorch-deeplab-xception

DeepLab v3+ model in PyTorch. Support different backbones.

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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

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rcnn

R-CNN: Regions with Convolutional Neural Network Features

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rebias

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

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rexnet

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

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rollback

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

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TResNet

TResNet: High Performance GPU-Dedicated Architecture

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vision

Datasets, Transforms and Models specific to Computer Vision

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wsolevaluation

Evaluating Weakly Supervised Object Localization Methods Right

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