Pinned Repositories
AMSoftmax
A simple yet effective loss function for face verification.
arcface-caffe
insightface-caffe
caffe
Caffe on both Linux and Windows
caffe-1
Caffe for Sparse and Low-rank Deep Neural Networks
caffe-alexnet-overfeat
Generate random image buffers, instantiate hybrid alexnet-overfeat architecture, then begin training
caffe-face-centerloss
caffe-faster-rcnn-resnet-fpn
caffe-googlenet-bn
re-implementation of googlenet batch normalization
caffe-hrnet
faceboxes
The network of the faceboxes
lqs19881030's Repositories
lqs19881030/AMSoftmax
A simple yet effective loss function for face verification.
lqs19881030/arcface-caffe
insightface-caffe
lqs19881030/caffe-hrnet
lqs19881030/caffe-jacinto-models
Repository for storing models and weights generated using caffe-jacinto
lqs19881030/caffe-yolo9000
Caffe for YOLOv2 & YOLO9000
lqs19881030/Caffe-YOLOv3-Windows
A windows caffe implementation of YOLO detection network
lqs19881030/CrossStagePartialNetworks
Cross Stage Partial Networks
lqs19881030/DAN-Caffe
DeepAlignmentNetwork(CVPR2017) caffe implement
lqs19881030/dd3d
Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.
lqs19881030/densebox
lqs19881030/DORN
lqs19881030/fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
lqs19881030/FPN
Feature Pyramid Networks for Object Detection
lqs19881030/ghostnet.pytorch
[CVPR2020] GhostNet: More Features from Cheap Operations
lqs19881030/IrisParseNet
[TIFS 2020]Towards Complete and Accurate Iris Segmentation Using Deep Multi-Task Attention Network for Non-Cooperative Iris Recognition
lqs19881030/LargeMargin_Softmax_Loss
Implementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16.
lqs19881030/License-Plate-Detect-Recognition-via-Deep-Neural-Networks-accuracy-up-to-99.9
works in real-time with detection and recognition accuracy up to 99.8% for Chinese license plates: 100 ms/plate
lqs19881030/mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
lqs19881030/MonoDepth-PyTorch
Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch
lqs19881030/Pelee
Pelee: A Real-Time Object Detection System on Mobile Devices
lqs19881030/PeleeNet
PeleeNet: An efficient DenseNet architecture for mobile devices
lqs19881030/PWC-Net
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
lqs19881030/resnet-imagenet-caffe
train resnet on imagenet from scratch with caffe
lqs19881030/RetinaFace-Cpp
RetinaFace detector with C++
lqs19881030/SCNN-prototxt-generator
Script for generating Spatial CNN caffe prototxt file.
lqs19881030/SegNet-Tutorial
Files for a tutorial to train SegNet for road scenes using the CamVid dataset
lqs19881030/TensorRT-SSD
Use TensorRT API to implement Caffe-SSD， SSD（channel pruning）， Mobilenet-SSD
lqs19881030/tinySSD
object detection of tiny ssd
lqs19881030/VanillaCNN_faceLandmark
Vanilar-CNN face landmark
lqs19881030/YOLOv5-Tools