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DetectoBuild fully-functioning computer vision models with PyTorch
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KittiboxA car detection model implemented in Tensorflow.
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Pedestron[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. On ArXiv 2020
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Rectlabel SupportRectLabel - An image annotation tool to label images for bounding box object detection and segmentation.
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Simple Faster Rcnn PytorchA simplified implemention of Faster R-CNN that replicate performance from origin paper
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Mmdetection To Tensorrtconvert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.
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PVANet-FACEA face detection model based on PVANet
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Railroad and Obstacle detectionThis program detect and identify obstacle on railway. If program detect some obstacle that train must stop, program gives you warning sign. This program Also estimate riskiness of obstacle how it is negligible or not. We provide many models to you to detect railways and obstacles.
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bottom-up-featuresBottom-up features extractor implemented in PyTorch.
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VisDrone2018ECCV2018(Challenge-Object Detection in Images)
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CFUNCombining Faster R-CNN and U-net for efficient medical image segmentation
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object-trackingMultiple Object Tracking System in Keras + (Detection Network - YOLO)
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lightDenseYOLOA real-time object detection app based on lightDenseYOLO Our lightDenseYOLO is the combination of two components: lightDenseNet as the CNN feature extractor and YOLO v2 as the detection module
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tf-faster-rcnnTensorflow 2 Faster-RCNN implementation from scratch supporting to the batch processing with MobileNetV2 and VGG16 backbones
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keras-faster-rcnnkeras实现faster rcnn,end2end训练、预测; 持续更新中,见todo... ;欢迎试用、关注并反馈问题
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GatGraph Attention Networks (https://arxiv.org/abs/1710.10903)
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PygatPytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
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pytorch-psetaePyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"
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Walk-TransformerFrom Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
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iPerceiveApplying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021
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