PyTorchRelevancePropagation
yolact
| PyTorchRelevancePropagation | yolact | |
|---|---|---|
| 1 | 4 | |
| 61 | 4,943 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | 7 months ago | |
| Python | Python | |
| - | MIT License |
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PyTorchRelevancePropagation
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[P] Layer-wise Relevance Propagation in PyTorch
The repository can be found here: https://github.com/KaiFabi/PyTorchRelevancePropagation
yolact
- YOLOv6: Redefine state-of-the-art for object detection
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Instance segmentation
YOLACT
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Advice needed
The Github repo is not highly structured and is probably written during the time of the author's research. Been using this for well over a year and does the job so well.
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A question on Instance Segmentation Labelling
I am using yolact : https://github.com/dbolya/yolact
What are some alternatives?
yolo_tracking - BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
yolact_edge - The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.
yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0
mmdetection - OpenMMLab Detection Toolbox and Benchmark
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
pytorch-image-models - The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
FairMOT - [IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
yolov7_d2 - 🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/