The official code for the paper: https://openreview.net/forum?id=_PHymLIxuI

Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones

[email protected]:MaJerle/stm32f429.git

PASCAL in Detail API

This project aims to provide modular implementation and an easy pipeline of training and evaluation for SOTA semantic segmentation models.

Squeeze-and-Excitation Networks

PyTorch Tutorial for Deep Learning Researchers

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

Please choose the openseg.pytorch project for the updated code that achieve SOTA on 6 benchmarks!

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

modified version based on DANet

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

Semantic Segmentation in Pytorch

Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)

README and scripts for the Cityscapes Dataset

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

ROS packages for multi robot exploration

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using …

Code from Robot Learning Lab, Cornell in paper Deep Learning for Detecting Robotic Grasps

The whole ROS workspace for move and adjust robot to grasp objects

《ROS机器人开发实践》源码

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

The ROS Package of Mask R-CNN for Object Detection and Segmentation

在自定义数据集上训练yolov3，并封装到ROS中作为一个节点