Open-source alternatives to Deformable Convolution Pytorch

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

PyTorch implementation of Deformable Convolution

PyTorch Code for the paper "VSE++: Improving Visual-Semantic Embeddings with Hard Negatives"

A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)

PyTorch implementation of Fader Networks (NIPS 2017).

This is easy-to-follow Capsule Network tutorial with clean readable code: Capsule Network.ipynb

Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)

This project is an unsupervised image restoration tool that uses a convolutional neural network as a structural prior to reconstruct images from noisy or incomplete data. It functions as a neural network image prior, utilizing the inherent biases of the network architecture to restore pixels without the need for a pre-trained dataset or external learning. The system performs zero-shot image restoration by treating the network architecture itself as a regularization term. It uses a randomly initialized encoder-decoder structure and iterative gradient descent to minimize pixel-wise loss, recove

Pixel-wise segmentation on the VOC2012dataset dataset using pytorchpytorch.

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

PyTorch Implementation of Realtime Multi-Person Pose Estimation project.

Convolutional Recurrent Neural Network

This repo is implementation for PointNet(https://arxiv.org/abs/1612.00593) in pytorch. The model is in pointnet/model.py.

StackGAN-v1: Tensorflow implementation