Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

Classification models trained on ImageNet. Keras.

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

AI场景分类竞赛

CBAM implementation on TensowFlow

CBAM implementation on TensorFlow Slim

A PyTorch implementation of Inception-v4 and Inception-ResNet-v2.

DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.

Supervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data [ICVGIPW'18]

SENet implementation on TensorFlow Slim

Models Supported: Inception [v1, v2, v3, v4], SE-Inception, Inception_ResNet [v1, v2], SE-Inception_ResNet (1D and 2D version with DEMO for Classification and Regression)

Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.

Regression in Convolutional Neural Network applied to Plant Leaf Count

A tensorflow2 implementation of Inception_V4, Inception_ResNet_V1 and Inception_ResNet_V2.

Keras Implementation of major CNN architectures

Lung segmentation for chest X-Ray images with ResUNet and UNet. In addition, feature extraction and tuberculosis cases diagnosis had developed.

An image classification app built using Django 4, Django REST Framework 3, Next.js 12, and Material UI 5. The app uses Inception-ResNet-v2 to classify images selected by the user.

Ensemble based transfer learning approach for accurately classifying common thoracic diseases from Chest X-Rays