Basic-Image-ProcessingImplementation of Basic Digital Image Processing Tasks in Python / OpenCV
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Mutual labels: segmentation
hair-dyeNeural Network for Dying Hair💈
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Mutual labels: segmentation
uoaisCodes of paper "Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling", ICRA 2022
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Mutual labels: segmentation
DeepSegmentorSequence Segmentation using Joint RNN and Structured Prediction Models (ICASSP 2017)
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Mutual labels: segmentation
mmrazorOpenMMLab Model Compression Toolbox and Benchmark.
Stars: ✠644 (+2120.69%)
Mutual labels: segmentation
color-pop🌈 Automatic Color Pop effect on any image inspired by Google Photos
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Mutual labels: segmentation
lung-image-analysisA basic framework for pulmonary nodule detection and characterization in CT
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Mutual labels: segmentation
CAPECylinder and Plane Extraction from Depth Cameras
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Mutual labels: segmentation
VNetProstate MR Image Segmentation 2012
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Mutual labels: segmentation
dcsp segmentationNo description or website provided.
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Mutual labels: segmentation
ANTsRAdvanced Normalization Tools in R
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Mutual labels: segmentation
superpixelRefinementSuperpixel-based Refinement for Object Proposal Generation (ICPR 2020)
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Mutual labels: segmentation
nicMSlesionsEasy multiple sclerosis white matter lesion segmentation using convolutional deep neural networks.
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Mutual labels: segmentation
CarND-Detect-Lane-Lines-And-VehiclesUse segmentation networks to recognize lane lines and vehicles. Infer position and curvature of lane lines relative to self.
Stars: ✠66 (+127.59%)
Mutual labels: segmentation
Polygonization-by-Frame-Field-LearningThis repository contains the code for our fast polygonal building extraction from overhead images pipeline.
Stars: ✠161 (+455.17%)
Mutual labels: segmentation
MiVOS[CVPR 2021] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion. Semi-supervised VOS as well!
Stars: ✠302 (+941.38%)
Mutual labels: segmentation
Lyrics-to-Audio-AlignmentAligns text (lyrics) with monophonic singing voice (audio). The algorithm uses structural segmentation to segment the audio into structures and then uses hidden markov models to obtain alignment within segments. The final alignment is concatenation of time stamps of lyrics within the segments for each song.
Stars: ✠57 (+96.55%)
Mutual labels: segmentation
pcanPrototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation, NeurIPS 2021 Spotlight
Stars: ✠294 (+913.79%)
Mutual labels: segmentation