Popular GitHub Repositories for Detectors

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

Human ChatGPT Comparison Corpus (HC3), Detectors, and more! ?

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

DSOD: Learning Deeply Supervised Object Detectors from Scratch. In ICCV 2017.

[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021

Easy & Modular Computer Vision Detectors, Trackers & SAM - Run YOLOv9,v8,v7,v6,v5,R,X in under 10 lines of code.

Estimate 3D face pose (6DoF) or 11 parameters of 3x4 projection matrix by a Convolutional Neural Network

[CVPR2023] MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors

Implementation of CVPR 2019 paper: Distilling Object Detectors with Fine-grained Feature Imitation

Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds (CVPR 2022, Oral)

Focal and Global Knowledge Distillation for Detectors (CVPR 2022)

Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

Create adversarial attacks against machine learning Windows malware detectors

GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation [IJCV2023]

A PyTorch Detectron codebase for domain adaptation of object detectors.

Implementation of "Harmonizing Transferability and Discriminability for Adapting Object Detectors" (CVPR 2020)

Compare with various detectors - s3fd, dlib, ocv, ocv-dnn, mtcnn-pytorch, face_recognition

A Comprehensive Study of the Robustness for LiDAR-based 3D Object Detectors against Adversarial Attacks