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YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
PyTorch Tutorial for Deep Learning Researchers
OpenMMLab Detection Toolbox and Benchmark
Image augmentation for machine learning experiments.
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
End-to-End Object Detection with Transformers
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
A PyTorch implementation of EfficientNet
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
A collection of loss functions for medical image segmentation
Universal and Transferable Attacks on Aligned Language Models
Semantic Segmentation Architectures Implemented in PyTorch
Scenic: A Jax Library for Computer Vision Research and Beyond
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
Python library for loading and using triangular meshes.
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
Official PyTorch implementation of SegFormer
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
Pytorch framework for doing deep learning on point clouds.
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors