PyTorch implementation of EfficientNetV2 family

Multi-backbone, Prune, Quantization, KD

EfficientNetV2 implementation using PyTorch

self defined efficientnetV2 according to official version. Including converted ImageNet/21K/21k-ft1k weights.

EfficientNetV2 pytorch (pytorch lightning) implementation with pretrained model

EfficientNetv2 TensorRT int8

PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/implementations - Vision Transformer (ViT), ResNetV2, EfficientNetV2, NeRF, SegFormer, MixTransformer, (planned...) DeepLabV3+, ConvNeXtV2, YOLO, etc.

This GitHub repository contains instructions for downloading and utilizing the AI4Food-NutritionDB food image database, as well as different food recognition systems based on Xception and EfficientNetV2 architectures.

Real Time Detection of Anomalous Activity From Videos (mainly crime actvity). Images of the video is trained using AutoEncoder to get the imtermediate feature representation of image & applied svm model for the bag of such features to detect the anomaly & LSTM to detect the type of Anomaly.

EfficientNetV2 based PaDiM

Pytorch implementation of efficientnet v2 backbone with detectron2 for object detection (Just for fun)

花分类，使用VGGNet、GoogLeNet、ResNet、DenseNet、EfficientNet和数据集中80%的数据训练识别模型，并对剩下20%的数据集进行测试

Source codes of team TikTorch (1st place solution) for track 2 and 3 of the SHREC2023 Challenge

DeepLabV3+ Implementation using TensorFlow 2

Implementation of EfficientNetV2 model in TensorFlow 2 Keras.

DeepLabV3 plus implementation using PyTorch

This is a brief PyTorch implementation of EfficientNetV2, providing with experiments on ImageNet and CIFAR-10/100.

Experiment with Centroid Re-ID by Changing Backbone Using EfficientNet-V2 and Adding Re-Identification Based Data Augmentation

tensorflow network for time series

EfficientDet in TensorFlow 2.0