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Vision Transformers for Dense Prediction: State of the art accuracy on depth estimation and semantic segmentation (realtime >30 FPS)

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Vision Transformers for Dense Prediction:  State of the art accuracy on depth estimation and semantic segmentation (realtime >30 FPS) We introduce dense vision transformers, an architecture that leverages vision transformers in place of convolutional networks as a backbone for dense prediction tasks. We assemble tokens from various stages of the vision transformer into image-like representations at various resolutions and progressively combine them into full-resolution predictions using a convolutional decoder. The transformer backbone processes representations at a constant and relatively high resolution and has a global receptive field at every stage. These properties allow the dense vision transformer to provide finer-grained and more globally coherent predictions when compared to fully-convolutional networks. Our experiments show that this architecture yields substantial improvements on dense prediction tasks, especially when a large amount of training data is available. For mon

Scaled YOLO v4: Absolute Top-1 neural network for object detection on MS COCO dataset

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Scaled YOLO v4 is the best neural network for object detection on MS COCO dataset Scaled YOLO v4 outperforms neural networks in accuracy: Google EfficientDet D7x / DetectoRS or SpineNet-190(self-trained on extra-data) Amazon Cascade-RCNN ResNest200 Microsoft RepPoints v2 Facebook RetinaNet SpineNet-190 And many others… Scaled YOLOv4 is more accurate and faster than neural networks: Google EfficientDet D0-D7x Google SpineNet S49s — S143 Baidu Paddle-Paddle PP YOLO And many others… Scaled YOLO v4 is a series of neural networks built on top of the improved and scaled YOLOv4 network. Our neural network was trained from scratch without using pre-trained weights (Imagenet or any other).  The YOLOv4-tiny neural network speed reaches 1774 FPS on a gaming graphics card GPU RTX 2080Ti when using TensorRT + tkDNN (batch = 4, FP16) Read full article :  https://arxiv.org/abs/2011.08036 Medium :  https://alexeyab84.medium.com/scaled-yolo-v4-is-the-best-neural-network-for-object-detection-on-ms-coco-