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This repository contains the source code of our work on designing efficient CNNs for computer vision
Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models
FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.
opencv+flask 家庭监控系统(surveillance_system)
This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
Pytorch0.4.1 codes for InsightFace
Repository for OpenCV's extra modules
一个好玩的Web安全-漏洞测试平台
PRML algorithms implemented in Python
PyTorch implementation of Grad-CAM
Improving Semantic Segmentation via Video Propagation and Label Relaxation
Implementation of Our ECCV-2020-oral paper: Semantic Flow for Fast and Accurate Scene Parsing
Code for our CVPR2020 paper "Strip Pooling: Rethinking Spatial Pooling for Scene Parsing"
The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.
Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.
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