CcnetCCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
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dilation-kerasMulti-Scale Context Aggregation by Dilated Convolutions in Keras.
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Dgcnn.pytorchA PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
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cellcountA Convolutional Neural Network for Segmenting and Counting Cells in Microscopy Images
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Fashion ParsingRepository of my fashion-parsing project. This project is put on hold since I am doing another project now, but will debug if bugs are reported.
Stars: ✭ 50 (-75.25%)
PAPCPAPC is a deep learning for point clouds platform based on pure PaddlePaddle
Stars: ✭ 55 (-72.77%)
Unet FamilyPaper and implementation of UNet-related model.
Stars: ✭ 1,924 (+852.48%)
CISTEMStemmer for German
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AvgnA generative network for animal vocalizations. For dimensionality reduction, sequencing, clustering, corpus-building, and generating novel 'stimulus spaces'. All with notebook examples using freely available datasets.
Stars: ✭ 50 (-75.25%)
video autoencoderVideo lstm auto encoder built with pytorch. https://arxiv.org/pdf/1502.04681.pdf
Stars: ✭ 32 (-84.16%)
Keras UnetHelper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
Stars: ✭ 196 (-2.97%)
adaptive-segmentation-mask-attackPre-trained model, code, and materials from the paper "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation" (MICCAI 2019).
Stars: ✭ 50 (-75.25%)
Switchnorm segmentationSwitchable Normalization for semantic image segmentation and scene parsing.
Stars: ✭ 47 (-76.73%)
HyperdensenetThis repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
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MeshcnnConvolutional Neural Network for 3D meshes in PyTorch
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BaysorBayesian Segmentation of Spatial Transcriptomics Data
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Keras SegmentationGet started with Semantic Segmentation based on Keras, including FCN32/FCN8/SegNet/U-Net
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ion-avpAudio/Video Processing Service
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CabbageA video composition framework build on top of AVFoundation. It's simple to use and easy to extend.
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SyntokText tokenization and sentence segmentation (segtok v2)
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XNetCNN implementation for medical X-Ray image segmentation
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Seg MentorTFslim based semantic segmentation models, modular&extensible boutique design
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Online Video EditorAPI based Online Video Editing using FFMPEG & NodeJs for Backend Editing
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pointnet2-pytorchA clean PointNet++ segmentation model implementation. Support batch of samples with different number of points.
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Mux ElixirOfficial Mux API wrapper for Elixir projects, supporting both Mux Data and Mux Video.
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Deeplab V3 Plus CityscapesmIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).
Stars: ✭ 121 (-40.1%)
pyconvsegnetSemantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
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Mlv AppAll in one MLV processing app that is pretty great. Download:
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LineSegmLine Segmentation of Handwritten Documents using the A* Path Planning Algorithm
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MoviepyVideo editing with Python
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OpenvehiclevisionAn opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation
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brainreg-segmentSegmentation of 3D shapes in a common anatomical space
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pi-asciicamA live stream ASCII webcam server for Raspberry Pis using websockets, written in go.
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OpencastThe free and open source solution for automated video capture and distribution at scale.
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Ffcreator一个基于node.js的高速短视频加工库 A fast short video processing library based on node.js
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MotsfusionMOTSFusion: Track to Reconstruct and Reconstruct to Track
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lite.ai.toolkit🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, MODNet, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.
Stars: ✭ 1,354 (+570.3%)
HoughRectangleRectangle detection using the Hough transform
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InstaboostCode for ICCV2019 paper "InstaBoost: Boosting Instance Segmentation Via Probability Map Guided Copy-Pasting"
Stars: ✭ 368 (+82.18%)
Multi Task Learning PytorchPyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
Stars: ✭ 190 (-5.94%)
Imantics📷 Reactive python package for managing, creating and visualizing different deep-learning image annotation formats
Stars: ✭ 184 (-8.91%)
Kaggle dstl submissionCode for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge
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AvdemoDemo projects for iOS Audio & Video development.
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