Lite-HRNet: A Lightweight High-Resolution Network

Overview

LiteHRNet Benchmark

🔥 🔥 Based on MMsegmentation 🔥 🔥

Cityscapes

FCN resize concat

config mIoU last mAcc last eval last mIoU best mAcc best eval best download
fcn-resize-concat_litehr18-with-head_512x1024_8x2_160k_cityscapes 71.81 80.6 10 71.81 80.6 10 log | 20210816_121228.log.json
fcn-resize-concat_litehr18-with-head_512x1024_8x2_320k_cityscapes 71.96 80.43 10 71.96 80.43 10 log | 20210816_121228.log.json
fcn-resize-concat_litehr18-with-head_512x1024_8x2_640k_cityscapes 69.29 78.91 8 69.29 78.91 8 log | 20210816_121228.log.json
fcn-resize-concat_litehr18-without-head_512x1024_8x2_160k_cityscapes 68.99 77.63 10 68.99 77.63 10 log | 20210816_121228.log.json
fcn-resize-concat_litehr18-without-head_512x1024_8x2_320k_cityscapes 70.42 78.72 10 70.42 78.72 10 log | 20210816_121228.log.json
fcn-resize-concat_litehr18-without-head_512x1024_8x2_640k_cityscapes 67.12 75.84 7 67.12 75.84 7 log | 20210816_121228.log.json
fcn-resize-concat_litehr30-with-head_512x1024_8x2_160k_cityscapes 73.81 82.42 10 73.81 82.42 10 log | 20210816_121228.log.json
fcn-resize-concat_litehr30-with-head_512x1024_8x2_320k_cityscapes 74.46 82.41 10 74.46 82.41 10 log | 20210816_121228.log.json
fcn-resize-concat_litehr30-with-head_512x1024_8x2_640k_cityscapes 69.15 79.65 6 69.15 79.65 6 log | 20210816_121228.log.json
fcn-resize-concat_litehr30-without-head_512x1024_8x2_160k_cityscapes 72.11 80.72 10 72.11 80.72 10 log | 20210816_121228.log.json
fcn-resize-concat_litehr30-without-head_512x1024_8x2_320k_cityscapes 72.12 80.15 10 72.12 80.15 10 log | 20210816_121228.log.json
fcn-resize-concat_litehr30-without-head_512x1024_8x2_640k_cityscapes 67.31 77.76 5 67.31 77.76 5 log | 20210816_121228.log.json

FCN

config mIoU last mAcc last eval last mIoU best mAcc best eval best download
fcn_litehr18-with-head_512x1024_8x2_160k_cityscapes 71.49 79.95 10 71.49 79.95 10 log | 20210816_121228.log.json
fcn_litehr18-with-head_512x1024_8x2_320k_cityscapes 73.03 81.35 10 73.03 81.35 10 log | 20210816_121228.log.json
fcn_litehr18-with-head_512x1024_8x2_640k_cityscapes 68.06 76.67 8 68.26 77.17 7 log | 20210816_121228.log.json
fcn_litehr18-without-head_512x1024_8x2_160k_cityscapes 69.43 78.15 10 69.43 78.15 10 log | 20210816_121228.log.json
fcn_litehr18-without-head_512x1024_8x2_320k_cityscapes 70.61 78.87 10 70.61 78.87 10 log | 20210816_121228.log.json
fcn_litehr18-without-head_512x1024_8x2_640k_cityscapes 63.83 73.11 4 63.83 73.11 4 log | 20210816_121228.log.json
fcn_litehr30-with-head_512x1024_8x2_160k_cityscapes 72.65 81.36 10 72.65 81.36 10 log | 20210816_121228.log.json
fcn_litehr30-with-head_512x1024_8x2_320k_cityscapes 74.98 83.22 10 74.98 83.22 10 log | 20210816_121228.log.json
fcn_litehr30-with-head_512x1024_8x2_640k_cityscapes 69.11 78.88 6 69.11 78.88 6 log | 20210816_121228.log.json
fcn_litehr30-without-head_512x1024_8x2_160k_cityscapes 72.78 81.37 10 72.78 81.37 10 log | 20210816_121228.log.json
fcn_litehr30-without-head_512x1024_8x2_320k_cityscapes 72.37 80.29 10 72.37 80.29 10 log | 20210816_121228.log.json
fcn_litehr30-without-head_512x1024_8x2_640k_cityscapes 63.53 74.6 4 65.91 75.91 3 log | 20210816_121228.log.json

ADE20k

FCN resize concat

config mIoU last mAcc last eval last mIoU best mAcc best eval best download
fcn-resize-concat_litehr18-with-head_512x512_160k_ade20k 16.15 22.12 2 16.15 22.12 2 log | 20210816_121228.log.json
fcn-resize-concat_litehr18-with-head_512x512_160k_ade20k 24.2 31.67 10 24.2 31.67 10 log | 20210816_121228.log.json
fcn-resize-concat_litehr18-with-head_512x512_160k_ade20k 26.17 34.86 10 26.17 34.86 10 log | 20210816_121228.log.json
fcn-resize-concat_litehr18-without-head_512x512_160k_ade20k 16.89 22.96 2 16.89 22.96 2 log | 20210816_121228.log.json
fcn-resize-concat_litehr18-without-head_512x512_160k_ade20k 24.71 32.46 10 24.71 32.46 10 log | 20210816_121228.log.json
fcn-resize-concat_litehr30-with-head_512x512_160k_ade20k 16.77 22.89 2 16.77 22.89 2 log | 20210816_121228.log.json
fcn-resize-concat_litehr30-with-head_512x512_160k_ade20k 26.81 34.96 10 26.81 34.96 10 log | 20210816_121228.log.json
fcn-resize-concat_litehr30-without-head_512x512_160k_ade20k 16.37 22.7 2 16.37 22.7 2 log | 20210816_121228.log.json
fcn-resize-concat_litehr30-without-head_512x512_160k_ade20k 24.38 32.52 10 24.38 32.52 10 log | 20210816_121228.log.json

FCN

config mIoU last mAcc last eval last mIoU best mAcc best eval best download
fcn_litehr18-with-head_512x512_160k_ade20k 0 0 0 0 0 0 log | 20210816_121228.log.json
fcn_litehr18-with-head_512x512_160k_ade20k 23.82 31.51 10 23.82 31.51 10 log | 20210816_121228.log.json
fcn_litehr18-with-head_512x512_160k_ade20k 24.14 31.81 10 24.14 31.81 10 log | 20210816_121228.log.json
fcn_litehr18-without-head_512x512_160k_ade20k 12.23 17.0 2 12.23 17.0 2 log | 20210816_121228.log.json
fcn_litehr18-without-head_512x512_160k_ade20k 20.82 27.58 10 20.82 27.58 10 log | 20210816_121228.log.json
fcn_litehr18-without-head_512x512_160k_ade20k 21.98 29.06 10 21.98 29.06 10 log | 20210816_121228.log.json
fcn_litehr30-with-head_512x512_160k_ade20k 14.11 19.06 3 14.11 19.06 3 log | 20210816_121228.log.json
fcn_litehr30-with-head_512x512_160k_ade20k 24.06 31.78 10 24.06 31.78 10 log | 20210816_121228.log.json
fcn_litehr30-without-head_512x512_160k_ade20k 14.37 19.21 3 14.37 19.21 3 log | 20210816_121228.log.json
fcn_litehr30-without-head_512x512_160k_ade20k 25.22 32.67 10 25.22 32.67 10 log | 20210816_121228.log.json
PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

SDEdit: Image Synthesis and Editing with Stochastic Differential Equations Project | Paper | Colab PyTorch implementation of SDEdit: Image Synthesis a

536 Jan 05, 2023
using yolox+deepsort for object-tracker

YOLOX_deepsort_tracker yolox+deepsort实现目标跟踪 最新的yolox尝尝鲜~~(yolox正处在频繁更新阶段,因此直接链接yolox仓库作为子模块) Install Clone the repository recursively: git clone --rec

245 Dec 26, 2022
Understanding the Effects of Datasets Characteristics on Offline Reinforcement Learning

Understanding the Effects of Datasets Characteristics on Offline Reinforcement Learning Kajetan Schweighofer1, Markus Hofmarcher1, Marius-Constantin D

Institute for Machine Learning, Johannes Kepler University Linz 17 Dec 28, 2022
Tutorial on scikit-learn and IPython for parallel machine learning

Parallel Machine Learning with scikit-learn and IPython Video recording of this tutorial given at PyCon in 2013. The tutorial material has been rearra

Olivier Grisel 1.6k Dec 26, 2022
A PyTorch implementation of a Factorization Machine module in cython.

fmpytorch A library for factorization machines in pytorch. A factorization machine is like a linear model, except multiplicative interaction terms bet

Jack Hessel 167 Jul 06, 2022
Food Drinks and groceries Images Multi Lingual (FooDI-ML) dataset.

Food Drinks and groceries Images Multi Lingual (FooDI-ML) dataset.

41 Jan 04, 2023
Implement object segmentation on images using HOG algorithm proposed in CVPR 2005

HOG Algorithm Implementation Description HOG (Histograms of Oriented Gradients) Algorithm is an algorithm aiming to realize object segmentation (edge

Leo Hsieh 2 Mar 12, 2022
A whale detector design for the Kaggle whale-detector challenge!

CNN (InceptionV1) + STFT based Whale Detection Algorithm So, this repository is my PyTorch solution for the Kaggle whale-detection challenge. The obje

Tarin Ziyaee 92 Sep 28, 2021
Reviving Iterative Training with Mask Guidance for Interactive Segmentation

This repository provides the source code for training and testing state-of-the-art click-based interactive segmentation models with the official PyTorch implementation

Visual Understanding Lab @ Samsung AI Center Moscow 406 Jan 01, 2023
The description of FMFCC-A (audio track of FMFCC) dataset and Challenge resluts.

FMFCC-A This project is the description of FMFCC-A (audio track of FMFCC) dataset and Challenge resluts. The FMFCC-A dataset is shared through BaiduCl

18 Dec 24, 2022
SAPIEN Manipulation Skill Benchmark

ManiSkill Benchmark SAPIEN Manipulation Skill Benchmark (abbreviated as ManiSkill, pronounced as "Many Skill") is a large-scale learning-from-demonstr

Hao Su's Lab, UCSD 107 Jan 08, 2023
This is an official implementation for "Exploiting Temporal Contexts with Strided Transformer for 3D Human Pose Estimation".

Exploiting Temporal Contexts with Strided Transformer for 3D Human Pose Estimation This repo is the official implementation of Exploiting Temporal Con

Vegetabird 241 Jan 07, 2023
Magisk module to enable hidden features on Android 12 Developer Preview 1.

Android 12 Extensions This is a Magisk module that enables hidden features on Android 12 Developer Preview 1. Features Scrolling screenshots Wallpaper

Danny Lin 384 Jan 06, 2023
Official code for "Towards An End-to-End Framework for Flow-Guided Video Inpainting" (CVPR2022)

E2FGVI (CVPR 2022) English | 简体中文 This repository contains the official implementation of the following paper: Towards An End-to-End Framework for Flo

Media Computing Group @ Nankai University 537 Jan 07, 2023
A curated list of awesome neural radiance fields papers

Awesome Neural Radiance Fields A curated list of awesome neural radiance fields papers, inspired by awesome-computer-vision. How to submit a pull requ

Yen-Chen Lin 3.9k Dec 27, 2022
Implementation for On Provable Benefits of Depth in Training Graph Convolutional Networks

Implementation for On Provable Benefits of Depth in Training Graph Convolutional Networks Setup This implementation is based on PyTorch = 1.0.0. Smal

Weilin Cong 8 Oct 28, 2022
Code repository for EMNLP 2021 paper 'Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods'

Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods This is the code repository to accompany the EMNLP 2021 paper on ad

Peru Bhardwaj 7 Sep 25, 2022
Control-Robot-Arm-using-PS4-Controller - A Robotic Arm based on Raspberry Pi and Arduino that controlled by PS4 Controller

Control-Robot-Arm-using-PS4-Controller You can see all details about this Robot

MohammadReza Sharifi 5 Jan 01, 2022
QuALITY: Question Answering with Long Input Texts, Yes!

QuALITY: Question Answering with Long Input Texts, Yes! Authors: Richard Yuanzhe Pang,* Alicia Parrish,* Nitish Joshi,* Nikita Nangia, Jason Phang, An

ML² AT CILVR 61 Jan 02, 2023
Reinforcement learning models in ViZDoom environment

DoomNet DoomNet is a ViZDoom agent trained by reinforcement learning. The agent is a neural network that outputs a probability of actions given only p

Andrey Kolishchak 126 Dec 09, 2022