Pinned Repositories
AutoML
AutoDeeplab / auto-deeplab / Hierarchical Neural Architecture Search / AutoML for semantic segmentation, implemented in Pytorch
bts
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
End-to-End-VAD
an Audio-Visual Voice Activity Detection using Deep Learning
ESRGAN
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)
HRNet-Semantic-Segmentation
High-resolution representation learning (HRNets) for Semantic Segmentation
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
MonoRec
Official implementation of the paper: MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera (CVPR 2021)
MSG-Net
Depth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016
multi-agent-emergence-environments
Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"
iariav's Repositories
iariav/End-to-End-VAD
an Audio-Visual Voice Activity Detection using Deep Learning
iariav/AutoML
AutoDeeplab / auto-deeplab / Hierarchical Neural Architecture Search / AutoML for semantic segmentation, implemented in Pytorch
iariav/bts
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
iariav/EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
iariav/ESRGAN
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)
iariav/HRNet-Semantic-Segmentation
High-resolution representation learning (HRNets) for Semantic Segmentation
iariav/mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
iariav/MonoRec
Official implementation of the paper: MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera (CVPR 2021)
iariav/MSG-Net
Depth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016
iariav/multi-agent-emergence-environments
Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"
iariav/PlotNeuralNet
Latex code for making neural networks diagrams
iariav/python-for-trading-meetup
Python for Trading Meetup (December 3, 2019)
iariav/pytorch-CycleGAN-and-pix2pix
Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
iariav/pytorch-deeplab-xception
DeepLab v3+ model in PyTorch. Support different backbones.
iariav/RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
iariav/RCAN
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
iariav/Revisiting_Single_Depth_Estimation
official implementation of "Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries"
iariav/SAN
Second-order Attention Network for Single Image Super-resolution (CVPR-2019)
iariav/semantic-segmentation
Improving Semantic Segmentation via Video Propagation and Label Relaxation
iariav/SGDepth
[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
iariav/SRRAM
Unofficial Implementation of Residual Attention Module
iariav/TransUNet
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.