Open-source alternatives to Adversarial Patch

Search and filter videos based on objects that appear in them using convolutional neural networks

Hierarchical Attentive Recurrent Tracking

This is a PyTorch object detection framework that implements the Single Shot MultiBox Detector for identifying and localizing multiple objects within images and video. The project provides a neural network architecture designed for single-shot object detection, which predicts bounding boxes and class labels in one pass. The implementation includes a real-time object detector capable of processing live video streams to track and label objects across sequential frames. It also features a complete computer vision training pipeline for preparing image datasets and training model weights. The fra

This project is a TensorFlow-based neural style transfer tool and deep learning image processor. It uses convolutional neural networks to apply the artistic style of one image to the content of another through neural image synthesis. The system supports multi-style blending to combine artistic characteristics from several different images into a single output. It also includes color-preserving stylization, which maintains the original color palette of the source image by merging source color data with the luminance of the stylized result. The tool provides capabilities for style abstraction

Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification

:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures

A PyTorch implementation of DenseNet.

Classification with PyTorch.

PyTorch-Pose is a PyTorch implementation of the general pipeline for 2D single human pose estimation. The aim is to provide the interface of the training/inference/evaluation, and the dataloader with various data augmentation options for the most popular human pose databases (e.g., the MPII…

PyTorch implementation of Deformable Convolution