Projects sharing features with Deformable Convolution Pytorch

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

PyTorch implementation of Deformable Convolution

DeepLab resnet v2 model in pytorch

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

PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation

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

PyTorch implementation of Fader Networks (NIPS 2017).

Neural Module Network for VQA in Pytorch

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)

PyTorch DepthNet Training on Still Box dataset

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 implementations of neural network models for keyword spotting

PyTorch Implementation of Realtime Multi-Person Pose Estimation project.

Convolutional Recurrent Neural Network

Implementation of "GANs for Biological Image Synthesis"

Generate captions for an image using PyTorch

ConvNet training using pytorch

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

An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

An implementation of RetinaNet in PyTorch.