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
Implementation of "Selection via Proxy: Efficient Data Selection for Deep Learning" from ICLR 2020.

Selection via Proxy: Efficient Data Selection for Deep Learning This repository contains a refactored implementation of "Selection via Proxy: Efficien

Stanford Future Data Systems 70 Nov 16, 2022
Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning.

Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning Installation

Pytorch Lightning 1.6k Jan 08, 2023
[AAAI-2022] Official implementations of MCL: Mutual Contrastive Learning for Visual Representation Learning

Mutual Contrastive Learning for Visual Representation Learning This project provides source code for our Mutual Contrastive Learning for Visual Repres

winycg 48 Jan 02, 2023
Code accompanying the paper "Knowledge Base Completion Meets Transfer Learning"

Knowledge Base Completion Meets Transfer Learning This code accompanies the paper Knowledge Base Completion Meets Transfer Learning published at EMNLP

14 Nov 27, 2022
A universal framework for learning timestamp-level representations of time series

TS2Vec This repository contains the official implementation for the paper Learning Timestamp-Level Representations for Time Series with Hierarchical C

Zhihan Yue 284 Dec 30, 2022
Pytorch Implementation of rpautrat/SuperPoint

SuperPoint-Pytorch (A Pure Pytorch Implementation) SuperPoint: Self-Supervised Interest Point Detection and Description Thanks This work is based on:

76 Dec 27, 2022
This is the official repository for our paper: ''Pruning Self-attentions into Convolutional Layers in Single Path''.

Pruning Self-attentions into Convolutional Layers in Single Path This is the official repository for our paper: Pruning Self-attentions into Convoluti

Zhuang AI Group 77 Dec 26, 2022
Bottom-up Human Pose Estimation

Introduction This is the official code of Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation. This paper has been accepted to CVPR2

108 Dec 01, 2022
🔀 Visual Room Rearrangement

AI2-THOR Rearrangement Challenge Welcome to the 2021 AI2-THOR Rearrangement Challenge hosted at the CVPR'21 Embodied-AI Workshop. The goal of this cha

AI2 55 Dec 22, 2022
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification

Self-Supervised Pre-Training for Transformer-Based Person Re-Identification [pdf] The official repository for Self-Supervised Pre-Training for Transfo

Hao Luo 116 Jan 04, 2023
Attentive Implicit Representation Networks (AIR-Nets)

Attentive Implicit Representation Networks (AIR-Nets) Preprint | Supplementary | Accepted at the International Conference on 3D Vision (3DV) teaser.mo

29 Dec 07, 2022
Code for the Paper: Conditional Variational Capsule Network for Open Set Recognition

Conditional Variational Capsule Network for Open Set Recognition This repository hosts the official code related to "Conditional Variational Capsule N

Guglielmo Camporese 35 Nov 21, 2022
Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.

openpifpaf Continuously tested on Linux, MacOS and Windows: New 2021 paper: OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Te

VITA lab at EPFL 50 Dec 29, 2022
[3DV 2021] A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks

dispersion-score Official implementation of 3DV 2021 Paper A Dataset-dispersion Perspective on Reconstruction versus Recognition in Single-view 3D Rec

Yefan 7 May 28, 2022
VACA: Designing Variational Graph Autoencoders for Interventional and Counterfactual Queries

VACA Code repository for the paper "VACA: Designing Variational Graph Autoencoders for Interventional and Counterfactual Queries (arXiv)". The impleme

Pablo Sánchez-Martín 16 Oct 10, 2022
GLIP: Grounded Language-Image Pre-training

GLIP: Grounded Language-Image Pre-training Updates 12/06/2021: GLIP paper on arxiv https://arxiv.org/abs/2112.03857. Code and Model are under internal

Microsoft 862 Jan 01, 2023
Pytorch implementation of our paper LIMUSE: LIGHTWEIGHT MULTI-MODAL SPEAKER EXTRACTION.

LiMuSE Overview Pytorch implementation of our paper LIMUSE: LIGHTWEIGHT MULTI-MODAL SPEAKER EXTRACTION. LiMuSE explores group communication on a multi

Auditory Model and Cognitive Computing Lab 17 Oct 26, 2022
Plug and play transformer you can find network structure and official complete code by clicking List

Plug-and-play Module Plug and play transformer you can find network structure and official complete code by clicking List The following is to quickly

8 Mar 27, 2022
Code for CVPR 2021 paper TransNAS-Bench-101: Improving Transferrability and Generalizability of Cross-Task Neural Architecture Search.

TransNAS-Bench-101 This repository contains the publishable code for CVPR 2021 paper TransNAS-Bench-101: Improving Transferrability and Generalizabili

Yawen Duan 17 Nov 20, 2022
A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning", IJCAI-21

MERIT A PyTorch implementation of our IJCAI-21 paper Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. Depen

Graph Analysis & Deep Learning Laboratory, GRAND 32 Jan 02, 2023