PaddleViT
medicaldetectiontoolkit
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PaddleViT | medicaldetectiontoolkit | |
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2 | 2 | |
1,169 | 1,266 | |
- | 1.1% | |
0.0 | 0.0 | |
over 1 year ago | 27 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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PaddleViT
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Researchers From China Propose A Pale-Shaped Self-Attention (PS-Attention) And A General Vision Transformer Backbone, Called Pale Transformer
Code for https://arxiv.org/abs/2112.14000 found: https://github.com/BR-IDL/PaddleViT
Github: https://github.com/BR-IDL/PaddleViT
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?
FastestDet - :zap: A newly designed ultra lightweight anchor free target detection algorithm, weight only 250K parameters, reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler
nnUNet
mmrazor - OpenMMLab Model Compression Toolbox and Benchmark.
mmdetection3d - OpenMMLab's next-generation platform for general 3D object detection.
SINet - Camouflaged Object Detection, CVPR 2020 (Oral)
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
PyTorch-Vision-Transformer-ViT-MNIST-CIFAR10 - Simplified Pytorch implementation of Vision Transformer (ViT) for small datasets like MNIST, FashionMNIST, SVHN and CIFAR10.
BlenderProc - A procedural Blender pipeline for photorealistic training image generation
ttach - Image Test Time Augmentation with PyTorch!
MONAILabel - MONAI Label is an intelligent open source image labeling and learning tool.
ml-cvnets - CVNets: A library for training computer vision networks
PaddleDetection - Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.