Swin-Transformer-Tensorflow
Swin-Transformer-Object-Detection
Our great sponsors
| Swin-Transformer-Tensorflow | Swin-Transformer-Object-Detection | |
|---|---|---|
| 2 | 4 | |
| 61 | 1,710 | |
| - | 0.7% | |
| 5.0 | 0.0 | |
| almost 3 years ago | about 1 year ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Swin-Transformer-Tensorflow
-
Swin Transformer TensorFlow Implementation
Here's the GitHub link: https://github.com/VcampSoldiers/Swin-Transformer-Tensorflow
Swin-Transformer-Object-Detection
-
Transfer Learning on Swin Transformer as a backbone for instance segmentation using MRCNN
I'm currently trying to transfer learn a set of custom classes of fish, for instance segmentation. I have found the official implementation of Swin Transformer as a backbone for instance segmentation using MRCNN: https://github.com/SwinTransformer/Swin-Transformer-Object-Detection.
-
Advice on Masters project | Vision transformers
Hi, So my project is to do with object detection on trash in the wild on this fairly obscure dataset: http://tacodataset.org/ and I was thinking of applying vision transformers to it for feature extraction. I was thinking of taking the YOLOX implementation and swapping out the backbone with swin transformers and perform bunch of comparisons/experiments for the write up. Sort of like how they applied swin transformers to mask R-CNN here but I am struggling to understand where to begin.
-
[P] I implemented DeepMind's "Perceiver" in PyTorch
Yes, have a look at this paper.
-
[P] Code and pretrained models for Swin Transformer are released (SOTA models on COCO and ADE20K)
Object detection on COCO: https://github.com/SwinTransformer/Swin-Transformer-Object-Detection
What are some alternatives?
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
YOLOX - YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Video-Swin-Transformer - This is an official implementation for "Video Swin Transformers".
Swin-Transformer - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Swin-Transformer-Semantic-Segmentation - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
yolov4-custom-functions - A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.
Perceiver - Implementation of Perceiver, General Perception with Iterative Attention in TensorFlow
PaddleClas - A treasure chest for visual classification and recognition powered by PaddlePaddle
Swin-Transformer-Serve - Deploy Swin Transformer using TorchServe