PyTorch implementation of over 30 realtime semantic segmentations models, e.g. BiSeNetv1, BiSeNetv2, CGNet, ContextNet, DABNet, DDRNet, EDANet, ENet, ERFNet, ESPNet, ESPNetv2, FastSCNN, ICNet, LEDN…

[CVPR 2022] Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement

[NeurIPS 2021] SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning

TricubeNet (WACV 2022)

This repo for what i learned

This repository is a collection of scripts/programs I use to set up the software development environment on my Jetson Nano, TX2, and Xavier NX.

Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

Arbitrary oriented object detection implemented with yolov3 (attached with some tricks).

Control px4 drone as offboard mode

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

DeepLab v3+ model in PyTorch. Support different backbones.

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

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

Models and examples built with TensorFlow

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

Object detection, 3D detection, and pose estimation using center point detection:

ROS nodes and Gazebo model for NVIDIA JetBot with Jetson Nano