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18663_project_fbnet

Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)

adaptive_weighted_attribute

Adaptively Weighted Multi-task Deep Network for Person Attribute Classification

attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

attgan-tensorflow

AttGAN Tensorflow, AttGAN: Facial Attribute Editing by Only Changing What You Want

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

blur-pool-keras

Keras implementation of BlurPool layers described in "Making Convolutional Networks Shift-Invariant Again" (Zhang)

bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

bottom-up-attention-vqa

An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

caffe

Caffe: a fast open framework for deep learning.

centerface

face detection

centerface.pytorch

unofficial version of centerface, which achieves the best balance between speed and accuracy at face detection

centermulti

基于CenterNet训练的目标检测&人脸对齐&姿态估计模型

centernet

CenterNet / FCOS_PLUS/MatrixNets implemented by mmdetection

centernet-tensorrt

This is a C++ implementation of CenterNet using TensorRT and CUDA

cpp-utils

:hibiscus: 一些C/C++常用封装例子

cv_paperdaily

CV 每日论文阅读笔记（日更）

danet-keras

keras-Dual Attention Network for Scene Segmentation

dataloaders_dali

PyTorch DataLoaders implemented with DALI for accelerating image preprocessing

deep_sort_yolov3

Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow

deepcc

Multi-Target, Multi-Camera Tracking

deepsort

deepsort using hog feature extractor and darknet

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detr

End-to-End Object Detection with Transformers

dg-net

CVPR2019 Joint Discriminative and Generative Learning for Person Re-identification

dropblock

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

enas-tensorflow

Efficient Neural Architecture search via parameter sharing(ENAS) micro search Tensorflow code for windows user

enas_pytorch

PyTorch port of "Efficient Neural Architecture Search via Parameters Sharing"

extremenet

Bottom-up Object Detection by Grouping Extreme and Center Points

faceattribute-fan

fairdarts

Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search