hmhemu

models

Models and examples built with TensorFlow

CVPR2024-Papers-with-Code

CVPR 2024 论文和开源项目合集

brpc

brpc is an Industrial-grade RPC framework using C++ Language, which is often used in high performance system such as Search, Storage, Machine learning, Advertisement, Recommendation etc. "brpc" means "better RPC".

CVPR2024-Paper-Code-Interpretation

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

InterviewGuide

🔥🔥「InterviewGuide」是阿秀从校园->职场多年计算机自学过程的记录以及学弟学妹们计算机校招&秋招经验总结文章的汇总，包括但不限于C/C++ 、Golang、JavaScript、Vue、操作系统、数据结构、计算机网络、MySQL、Redis等学习总结，坚持学习，持续成长！

monodepth2

[ICCV 2019] Monocular depth estimation from a single image

Efficient-AI-Backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

3d-ken-burns

an implementation of 3D Ken Burns Effect from a Single Image using PyTorch

Res2Net-PretrainedModels

(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

SfmLearner-Pytorch

Pytorch version of SfmLearner from Tinghui Zhou et al.

SC-SfMLearner-Release

Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)

GFocal

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020

Basic_CNNs_TensorFlow2

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

OpticalFlowToolkit

Python-based optical flow toolkit for existing popular dataset

DIFFNet

[BMVC 2021] ''Self-Supervised Monocular Depth Estimation with Internal Feature Fusion''

shufflenet-v2-tensorflow

Tensorflow ShuffleNet v2 implementation

RA-Depth

[ECCV2022] RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation

PPT-Net

Pyramid Point Cloud Transformer for Large-Scale Place Recognition

V2B

EPC-Net

Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition (EPC-Net)

STNet

3D Siamese Transformer Network for Single Object Tracking on Point Clouds

PDGN

Progressive Point Cloud Deconvolution Generation Network (PDGN)

SPNet

Superpoint Network for Point Cloud Oversegmentation

SPFlowNet

[CVPR 2023] Self-Supervised 3D Scene Flow Estimation Guided by Superpoints

ICAL

Awesome-Point-Cloud-based-Place-Recognition

ExamSystem

examination

fpthink.github.io

SSPU-Net

SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable Rendering

superpoint_graph

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs