STEGO
HugsVision
STEGO | HugsVision | |
---|---|---|
1 | 1 | |
683 | 188 | |
- | - | |
0.0 | 0.0 | |
about 1 year ago | 9 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
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STEGO
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MIT Team Introduces STEGO: An Algorithm That Can Jointly Detect And Segment Things Down To The Last Pixel Without Any Human
Code: https://github.com/mhamilton723/STEGO
HugsVision
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[R] HugsVision: A easy-to-use HuggingFace wrapper for computer vision
Find more tutorials and informations about HugsVision on GitHub
What are some alternatives?
rankseg - [JMLR 2023] RankSEG: A consistent ranking-based framework for segmentation
poolformer - PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)
SegGradCAM - SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
pytorch-segmentation - :art: Semantic segmentation models, datasets and losses implemented in PyTorch.
fashionpedia-api - Python API for Fashionpedia Dataset
ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]
CoordConv
Transformer-Explainability - [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
Vision-Project-Image-Segmentation
T2T-ViT - ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
CoordConv - Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/1807.03247