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airiacvlib_runtime

asff

yolov3 with mobilenet v2 and ASFF

atss

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection, CVPR, Oral, 2020

autoassign

Pytorch implementation of "AutoAssign: Differentiable Label Assignment for Dense Object Detection"

autogluon

AutoGluon: AutoML Toolkit for Deep Learning

awesome-monocular-3d-detection

Awesome Monocular 3D detection

binarytree

Create binary tree, three orders of traverse tree's all nodes

cdn

Adapting Object Detectors with Conditional Domain Normalization

chinese-ocr

[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

chineseocr_lite

超轻量级中文ocr，支持竖排文字识别, 支持ncnn推理 , psenet(8.5M) + crnn(6.3M) + anglenet(1.5M) 总模型仅17M

da-faster-rcnn

An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'

daily-arxiv-noti

darknet

Yolo v4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)

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.

dfq

PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.

diou

Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression (AAAI 2020)

diou-darknet

Distance-IoU Loss into YOLO v3

distilling-object-detectors

Implementations of CVPR 2019 paper Distilling Object Detectors with Fine-grained Feature Imitation

dmcp

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

face-alignment-in-3000fps

a c++ implementation of face alignment in 3000fps

flextensor

Automatic Schedule Exploration and Optimization Framework for Tensor Computations

fog_simulation-sfsu_synthetic

hprose

High Performance Remote Object Service Engine

hrnet-fcos

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

hrnet-object-detection

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h). This is an official implementation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

k210_yolo_framework

Yolo v3 framework base on tensorflow, support multiple models, multiple datasets, any number of output layers, any number of anchors, model prune, and portable model to K210 !

kendryte-tensorflow

Tensorflow for Kendryte, optimized for KPU

libzmq

ZeroMQ core engine in C++

mace-kit