BCNet
medicaldetectiontoolkit
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| BCNet | medicaldetectiontoolkit | |
|---|---|---|
| 1 | 2 | |
| 509 | 1,266 | |
| - | 1.1% | |
| 3.0 | 0.0 | |
| 11 months ago | 22 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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BCNet
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[CVPR2021] Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers
github: https://github.com/lkeab/BCNet
medicaldetectiontoolkit
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3D rcnn
Checkout https://github.com/MIC-DKFZ/medicaldetectiontoolkit, they have a recent 3d rcnn implementation. Their paper is a good start on the topic. Also have a look at nnDetection from the same group, it might provide some more leads. Hth
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3D Faster R-CNN for microscopy image analysis
I'm doing research in the area of biomedical image processing using deep learning. At the moment, I'm focused in the detection of biological structures in 3D microscopy images. For this task I trained a Faster R-CNN architecture, however I noticed that while the training loss is decreasing the validation loss is high, doesn't decrease and sometimes oscillates. When I looked at the results, the bounding boxes in the training and validation sets were too small but located at random spots. At first I thought that I should adjust the size of the anchors, however, even after trying different anchor sizes the results didn't improve. I would like to know if anyone has experience in working with 3D Faster R-CNN that could help me with suggestions for this project. (btw, I'm using the code available in this repo). Thanks in advance.
What are some alternatives?
layout-parser - A Unified Toolkit for Deep Learning Based Document Image Analysis
nnUNet
mmdetection - OpenMMLab Detection Toolbox and Benchmark
mmdetection3d - OpenMMLab's next-generation platform for general 3D object detection.
yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
yolov7_d2 - 🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
BlenderProc - A procedural Blender pipeline for photorealistic training image generation
PaddleDetection - Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
MONAILabel - MONAI Label is an intelligent open source image labeling and learning tool.
AdelaiDet - AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.