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

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

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

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

Object detection in remote sensing images using CNN and attention mechanism

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