Generating Adversarial examples for ConvNeXt
-
Updated
Jan 16, 2022 - Jupyter Notebook
Generating Adversarial examples for ConvNeXt
tf-keras re-implementation of ConvNeXt (https://arxiv.org/abs/2201.03545) from Facebook Research.
This repository holds the downstream task of Face Mask Classification performed on Self Currated Custom Dataset with various State of the Art deep learning models like ViT, BeIT, DeIT, LeViT, ConvNeXt, VGG16, EfficientNetV2, RegNet and MobileNetV3.
forex trading with reinforcement learning
tensorflow network for time series
This project includes multiple models, loss functions, optimizers and image augmentations for image classification task
ConvNeXt conversion code for PT to TF along with evaluation code on ImageNet-1k val.
New is not always better: a comparison of two image classification networks (ResNet-50 vs ConvNeXt).
👁 2022年数字中国创新大赛 (DCIC 2022) 卫星应用赛题——海上船舶智能检测第三名解决方案
using convnext as base model for face recognition
Simple implementation of the ConvNext architecture in PyTorch
Train torchvision's MaskRCNN model using the ConvNeXt architecture as the backbone network.
Paddle YOLOX, 51.8mAP on COCO val by YOLOX-x, 44.6mAP on YOLOX-s ConvNeXt
PyTorch implementation of "Nextformer: A ConvNeXt Augmented Conformer For End-To-End Speech Recognition"
Export pytorch model to ONNX and convert ONNX from float32 to float 16
A Tensorflow Implementation of "A ConvNet for the 2020s" and "ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders" (ConvNeXt and ConvNeXtV2)
Various CNN's trained with the Kaggle Chest X-Ray dataset.
A PyTorch-based Python library with UNet architecture and multiple backbones for Image Semantic Segmentation.
Add a description, image, and links to the convnext topic page so that developers can more easily learn about it.
To associate your repository with the convnext topic, visit your repo's landing page and select "manage topics."