”hrnet“ 的搜索结果

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

翻译 - 这是TPAMI论文“视觉识别的深度高分辨率表示学习”的语义分段的正式实现。 https://arxiv.org/abs/1908.07919

Train the HRNet model on ImageNet

This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

This is an official implementation of our CVPR 2020 paper "HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation" (https://arxiv.org/abs/1908.10357)

This is an official pytorch implementation of Lite-HRNet: A Lightweight High-Resolution Network.

Multi-person Human Pose Estimation with HRNet in Pytorch

keras-HRNet

This repo is copied from https://github.com/leoxiaobin/deep-high-resolution-net.pytorch

deep_high_resolution_network for pose estimation，integrate yoloV3 human detection, insert flownet2 and SG-filter

High-resolution Networks for the Fully Convolutional One-Stage Object Detection (FCOS) algorithm

A TensorFlow implementation of HRNet

HRNet 的Tensorflow实现

APRCP HRNet: Adaptive Pruning Rate Channel Pruning for HRNet Applied to 2D Human Pose Estimation

[DeepFashion2 Challenge] Fashion Landmark Estimation with HRNet

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).

Lite-HRNet: A Lightweight High-Resolution Network

detectron2 backbone: resnet18, efficientnet, hrnet, mobilenet v2, resnest, bifpn

[ NeurIPS2021] This is an official implementation of our paper "HRFormer: High-Resolution Transformer for Dense Prediction".

翻译 - 这是我们 NeurIPS 2021 论文“HRFormer: High-Resolution Transformer for Dense Prediction”的官方实现。

A TensorFlow implementation of HRNet for facial landmark detection.

Lite-HRNet: A Lightweight High-Resolution Network

Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, Enc...

翻译 - 支持Fast_SCNN，HRNet，Deeplabv3_plus（xception，resnet，移动网络），ContextNet，FPENet，DABNet，EdaNet，ENet，Espnetv2，RefineNet，UNet，DANet，HRNet，DFANet，HardNet，LedNet，OCNet，EncNet，EncNet BiSeNet，PSPNet，ICNet，FCN，deeplab）