pangxuejiao Goto Github PK

anomalies-in-gastrointestinal-cnn-tl

anomalies-in-gastrointestinal-tract

attendance-using-face

Face-recognition using Siamese network

awesome-image-classification

A curated list of deep learning image classification papers and codes

bossnas

BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search (ICCV 2021)

box_attention

Code release for "BoxeR: Box-Attention for 2D and 3D Transformers"

bsnet

Code release for the paper BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification. (TIP2020)

cbam.pytorch

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

classification-of-gastrointestinal-lesions

cnn-for-gastrointestinal-tract-images-multiclass-classification

Covolutional Neural Network for gastrointestinal tract images multi class classification.

crossdomainfewshot

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)

cv-backbones

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

danishfungidataset

dcnet

Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection, CVPR 2021

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deepemd

Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020

deeplearning

A deep learning code base, mainly for paper replication, in the areas of image recognition, object detection, image segmentation, self-supervision, etc. Each project can be run independently, and there are corresponding articles to explain.

densenet.pytorch

A PyTorch implementation of DenseNet.

domain-specific-fewshot-learning

Pytorch implementation of the Trans paper "Few-shot Learning for Domain-specific Fine-grained Image Classification"

dtfd-mil

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

efficientnet-pytorch

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

few-shot

Repository for few-shot learning machine learning projects

fewshot-can

Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).

fine-grained-image-classification

fine-grained-image-classification-1

Fine grained image classification using Bi-linear CNN's and Attention models

focal_loss_pytorch

A PyTorch Implementation of Focal Loss.

fsl-dapna

Code for FSL model DAPNA

gial

Gastrointestinal Disease Diagnosis with Deep Active Learning