GuidedLabellingExploiting Saliency for Object Segmentation from Image Level Labels, CVPR'17
Stars: ✭ 35 (+2.94%)
WSCNNTDSaliency[BMVC17] Weakly Supervised Saliency Detection with A Category-Driven Map Generator
Stars: ✭ 19 (-44.12%)
AttentionGatedVNet3DAttention Gated VNet3D Model for KiTS19——2019 Kidney Tumor Segmentation Challenge
Stars: ✭ 35 (+2.94%)
Pytorch Cnn VisualizationsPytorch implementation of convolutional neural network visualization techniques
Stars: ✭ 6,167 (+18038.24%)
datastories-semeval2017-task6Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".
Stars: ✭ 20 (-41.18%)
DeepSegmentorSequence Segmentation using Joint RNN and Structured Prediction Models (ICASSP 2017)
Stars: ✭ 17 (-50%)
vessegBrain vessel segmentation using 3D convolutional neural networks
Stars: ✭ 27 (-20.59%)
Skin-Cancer-SegmentationClassification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset
Stars: ✭ 61 (+79.41%)
mmrazorOpenMMLab Model Compression Toolbox and Benchmark.
Stars: ✭ 644 (+1794.12%)
Basic-Image-ProcessingImplementation of Basic Digital Image Processing Tasks in Python / OpenCV
Stars: ✭ 102 (+200%)
DINetA dilated inception network for visual saliency prediction (TMM 2019)
Stars: ✭ 25 (-26.47%)
minimal-nmtA minimal nmt example to serve as an seq2seq+attention reference.
Stars: ✭ 36 (+5.88%)
3HANAn original implementation of "3HAN: A Deep Neural Network for Fake News Detection" (ICONIP 2017)
Stars: ✭ 29 (-14.71%)
PySODEvalToolkitPySODEvalToolkit: A Python-based Evaluation Toolbox for Salient Object Detection and Camouflaged Object Detection
Stars: ✭ 59 (+73.53%)
VNetProstate MR Image Segmentation 2012
Stars: ✭ 54 (+58.82%)
pixel-decoderA tool for running deep learning algorithms for semantic segmentation with satellite imagery
Stars: ✭ 68 (+100%)
nicMSlesionsEasy multiple sclerosis white matter lesion segmentation using convolutional deep neural networks.
Stars: ✭ 33 (-2.94%)
U-TimeU-Time: A Fully Convolutional Network for Time Series Segmentation
Stars: ✭ 156 (+358.82%)
halonet-pytorchImplementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones
Stars: ✭ 181 (+432.35%)
geocoding地理编码技术,提供地址标准化和相似度计算。
Stars: ✭ 148 (+335.29%)
pyRANSAC-3DA python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm
Stars: ✭ 253 (+644.12%)
Multi-task-Conditional-Attention-NetworksA prototype version of our submitted paper: Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.
Stars: ✭ 21 (-38.24%)
superpixelRefinementSuperpixel-based Refinement for Object Proposal Generation (ICPR 2020)
Stars: ✭ 24 (-29.41%)
Fast-SCNN pytorchA PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network(PyTorch >= 1.4)
Stars: ✭ 30 (-11.76%)
stanford-cs231n-assignments-2020This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).
Stars: ✭ 84 (+147.06%)
extkerasPlayground for implementing custom layers and other components compatible with keras, with the purpose to learn the framework better and perhaps in future offer some utils for others.
Stars: ✭ 18 (-47.06%)
ANTsRAdvanced Normalization Tools in R
Stars: ✭ 101 (+197.06%)
hamnetPyTorch implementation of AAAI 2021 paper: A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization
Stars: ✭ 30 (-11.76%)
hair-dyeNeural Network for Dying Hair💈
Stars: ✭ 45 (+32.35%)
wasr networkWaSR Segmentation Network for Unmanned Surface Vehicles v0.5
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domain-attentioncodes for paper "Domain Attention Model for Multi-Domain Sentiment Classification"
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LMFD-PADLearnable Multi-level Frequency Decomposition and Hierarchical Attention Mechanism for Generalized Face Presentation Attack Detection
Stars: ✭ 27 (-20.59%)
anomaly-segThe Combined Anomalous Object Segmentation (CAOS) Benchmark
Stars: ✭ 115 (+238.24%)
abcnn pytorchImplementation of ABCNN(Attention-Based Convolutional Neural Network) on Pytorch
Stars: ✭ 35 (+2.94%)
dictlearnDictionary Learning for image processing
Stars: ✭ 23 (-32.35%)
egfr-attDrug effect prediction using neural network
Stars: ✭ 17 (-50%)
C2CImplementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.
Stars: ✭ 30 (-11.76%)
S-measureStructure-measure: A New Way to Evaluate Foreground Maps, IJCV2021 (ICCV 2017-Spotlight)
Stars: ✭ 43 (+26.47%)
SASHIMISASHIMI segmentation is a Matlab App for semi-automatic interactive segmentation of multi-slice images.
Stars: ✭ 15 (-55.88%)
pcanPrototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation, NeurIPS 2021 Spotlight
Stars: ✭ 294 (+764.71%)
troveWeakly supervised medical named entity classification
Stars: ✭ 55 (+61.76%)
medSegMedical Image Segmentation Toolkit based on PaddlePaddle - 基于paddle的医学影像分割框架
Stars: ✭ 88 (+158.82%)
dodrioExploring attention weights in transformer-based models with linguistic knowledge.
Stars: ✭ 233 (+585.29%)
lung-image-analysisA basic framework for pulmonary nodule detection and characterization in CT
Stars: ✭ 26 (-23.53%)
imgcropSimple image augmentation library focusing on random geometric cropping
Stars: ✭ 27 (-20.59%)
color-pop🌈 Automatic Color Pop effect on any image inspired by Google Photos
Stars: ✭ 21 (-38.24%)
long-short-transformerImplementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch
Stars: ✭ 103 (+202.94%)
knodleA PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.
Stars: ✭ 76 (+123.53%)
segDGM CNNSegment Deep Gray Matter on QSM images using 3D CNN
Stars: ✭ 16 (-52.94%)
SPMLUniversal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
Stars: ✭ 81 (+138.24%)
NeuTuSoftware package for neuron reconstruction and visualization
Stars: ✭ 34 (+0%)