bird species classificationSupervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data
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mrcnn serving ready🛠 Mask R-CNN Keras to Tensorflow and TFX models + Serving models using TFX GRPC & RESTAPI
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Mask-YOLOInspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice and Shapes. MobileNet supported.
Stars: ✭ 100 (+66.67%)
rt-mrcnnReal time instance segmentation with Mask R-CNN, live from webcam feed.
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Skin-Cancer-SegmentationClassification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset
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AutoSweepThe implementation for the AutoSweep (TVCG 2018)
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smdSimple mmdetection CPU inference
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zed-pytorch3D Object detection using the ZED and Pytorch
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image-segmentationMask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available
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MmdetectionOpenMMLab Detection Toolbox and Benchmark
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PaddledetectionObject Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
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Mask rcnnMask R-CNN for object detection and instance segmentation on Keras and TensorFlow
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Detectron.pytorchA pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
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mask-rcnn-edge-agreement-lossReference implementation of "Faster Training of Mask R-CNN by Focusing on Instance Boundaries"
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SALSA-Semantic-Assisted-SLAMSALSA: Semantic Assisted Life-Long SLAM for Indoor Environments (16-833 SLAM Project at CMU)
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Swin-TransformerThis is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
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UnderTheSeaFish instance segmentation using Mask-RCNN
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