#计算机科学#深度学习在图像处理中的应用教程
#计算机科学#Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
#计算机科学#Tutorials, assignments, and competitions for MIT Deep Learning related courses.
#计算机科学#Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Pytorch implementation of convolutional neural network visualization techniques
#计算机科学#BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
#时序数据库#All-in-One Development Tool based on PaddlePaddle
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Segment Anything in High Quality [NeurIPS 2023]
#计算机科学#PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
#自然语言处理#深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
#计算机科学#A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
A procedural Blender pipeline for photorealistic training image generation
Mask RCNN in TensorFlow