- HugsVision VS Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
- HugsVision VS poolformer
- HugsVision VS fashionpedia-api
- HugsVision VS ganspace
- HugsVision VS CoordConv
- HugsVision VS Transformer-Explainability
- HugsVision VS Vision-Project-Image-Segmentation
- HugsVision VS CoordConv
- HugsVision VS T2T-ViT
- HugsVision VS labelme2coco
HugsVision Alternatives
Similar projects and alternatives to HugsVision
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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.
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poolformer
PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)
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[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
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CoordConv
Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/1807.03247 (by walsvid)
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T2T-ViT
ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
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labelme2coco
A lightweight package for converting your labelme annotations into COCO object detection format.
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qanastek/HugsVision is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of HugsVision is Jupyter Notebook.