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aerialdetection

auto-context-r-cnn

Implementation by Pytorch for auto-context model for RCNNs

awesome-lane-detection

A paper list of lane detection.

cherishhh.github.io

course

高性能并行编程与优化 - 课件

cuda-training-series

Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)

cuda_ops

gliding_vertex

The implementation of paper "Gliding vertex on the horizontal bounding box for multi-oriented object detection".

how_to_optimize_in_gpu

This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, sgemv, sgemm, etc. The performance of these kernels is basically at or near the theoretical limit.

lite.ai.toolkit

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOv5, YOLOX, YOLOP, YOLOv6, YOLOR, MODNet, YOLOX, YOLOv7, YOLOv8. MNN, NCNN, TNN, ONNXRuntime.

mmdeploy

OpenMMLab Model Deployment Framework

mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

nvidia_sgemm_practice

Step-by-step optimization of CUDA SGEMM

ppq

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

pruned-mobilenet_v2

Apply the pruning strategy for MobileNet_v2

pytorch-yolo3

pytorch yolo3

r2cnn-plus-plus_tensorflow

This is a tensorflow implementation of R2CNN++: Multi-Dimensional Attention Based Rotation Invariant Detector with Robust Anchor Strategy.

rank1-solution-for-alibaba-cloud-german-ai-challenge

hhh

remote_sensing_object_detection_2019

2019年遥感图像稀疏表征与智能分析竞赛-初赛排名26/605

rscup2019-object-detection-track-3th-solution

Rscup2019 Object Detection Track 3th Solution

se_densenet

This is a DensNet which contains a senet (Squeeze-and-Excitation Networks by Jie Hu, Li Shen and Gang Sun) module.

slimmable_networks

Slimmable Networks, ICLR 2019, and ICCV 2019