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.
Anonymization pipeline (faces, license plates detection & blurring) of video frames utilizing various deep learning models, part of GRUBLES project
object detection, instance segmentation, semantic segmentation, pose estimation and MOT
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）
Guided Anchoring Cascade R-CNN: An intensive improvement of R-CNN in Vietnamese Document Detection
cascade rcnn, faster rcnn implemented by tensorflow2.2 and GHM CLoss, GHM RLoss, Pseudo Labeling
CascadeRCNN implementation using PyTorch
Training MMDetection model with a custom dataset as well as a custom backbone and neck for object detection. The purpose of this repository is to document my config set up and my experiment result.
Course Project for ECE 285 Special Topics in Robotics : Machine Learning for Image Processing, taken during Fall 2019
Perform few-shot action recognition using multi-stage metric learning and CLIP-based adaptation to improve generalizability and reduce resource consumption.