🚛 TrAsh DAtaset based on Korea Ministry of Environment guidelines
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Updated
Mar 16, 2021 - Python
🚛 TrAsh DAtaset based on Korea Ministry of Environment guidelines
Object detection in remote sensing images using CNN and attention mechanism
Anonymization pipeline (faces, license plates detection & blurring) of video frames utilizing various deep learning models, part of GRUBLES project
CascadeRCNN implementation using PyTorch
Course Project for ECE 285 Special Topics in Robotics : Machine Learning for Image Processing, taken during Fall 2019
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
object detection, instance segmentation, semantic segmentation, pose estimation and MOT
Project on the implementation of deep-learning models for ship detection on SAR images.
🐛🐛🐛Cascade RCNN 的训练基于mmdetection
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)
Cascade R-CNN: Delving into High Quality Object Detection.
A Detection Toolbox for Tensorflow2
A Cascade Attention Network for 3D Object Detection from LiDAR point clouds
OpenVINO Training Extensions Object Detection
convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.
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
[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021
OpenMMLab Detection Toolbox and Benchmark
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