OpenMMLab Detection Toolbox and Benchmark

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

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h). This is an official implementation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.

A Cascade Attention Network for 3D Object Detection from LiDAR point clouds

OpenVINO Training Extensions Object Detection

A Detection Toolbox for Tensorflow2

Cascade R-CNN: Delving into High Quality Object Detection.

🐛🐛🐛Cascade RCNN 的训练基于mmdetection

Project on the implementation of deep-learning models for ship detection on SAR images.

object detection, instance segmentation, semantic segmentation, pose estimation and MOT

Object detection in remote sensing images using CNN and attention mechanism

Guided Anchoring Cascade R-CNN: An intensive improvement of R-CNN in Vietnamese Document Detection

旷视AI智慧交通开源赛道 **非官方**第二名解决方案（初赛/决赛第二名， 0.61447/0.58183）

CascadeRCNN implementation using PyTorch

cascade rcnn, faster rcnn implemented by tensorflow2.2 and GHM CLoss, GHM RLoss, Pseudo Labeling

Anonymization pipeline (faces, license plates detection & blurring) of video frames utilizing various deep learning models, part of GRUBLES project

Course Project for ECE 285 Special Topics in Robotics : Machine Learning for Image Processing, taken during Fall 2019

🚛 TrAsh DAtaset based on Korea Ministry of Environment guidelines