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Intel
- San Francisco Bay Area
- https://www.linkedin.com/in/mohaghighat/
Stars
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.
This is the repo for our new project Highly Accurate Dichotomous Image Segmentation
Full End-to-End examples showing how to use First-gen Gaudi and Gaudi2 in common use cases
This is a list of interesting papers and projects about TinyML.
Providing reproducibility in deep learning frameworks
Notebooks for learning deep learning
Provides color names and HTML/RGB mappings in various output formats.
Training and Detecting Objects with YOLO3
Learn OpenCV : C++ and Python Examples
The official homepage of the (outdated) COCO-Stuff 10K dataset.
COCO API - Dataset @ http://cocodataset.org/
A Keras port of Single Shot MultiBox Detector
The dataset is used to train my own raccoon detector and I blogged about it on Medium
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
C++ (OpenCV) implementation of the adaptive manifold high dimensional filter
NormFace: L2 HyperSphere Embedding for Face Verification, 99.21% on LFW
Simple tutorials using Google's TensorFlow Framework
A toolkit for making real world machine learning and data analysis applications in C++
C++ implementation for OpenFace library by CMU.