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Iris Recognition
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/CVRL/EyePreserve
공식 코드https://github.com/CVRL/OpenSourceIrisPAD
공식 코드Open Source Presentation Attack Detection Baseline for Iris Recognition
https://github.com/CVRL/RaspberryPiOpenSourceIris
공식 코드Open Source Iris Recognition Hardware and Software with Presentation Attack Detection
https://github.com/CVRL/domain-specific-BSIF-for-iris-recognition
공식 코드Domain-Specific Human-Inspired Binarized Statistical Image Features for Iris Recognition
https://github.com/Debatrix/AquulaCam
공식 코드https://github.com/akuehlka/emvlc-ipad
공식 코드Ensemble of Multi-View Learning Classifiers for Cross-Domain Iris Presentation Attack Detection
https://github.com/akuehlka/xai4b_tlpim
공식 코드Interpretable Deep Learning-Based Forensic Iris Segmentation and Recognition
https://github.com/bryanlimy/ViV1T
공식 코드https://github.com/choapinus/densenet10
공식 코드On the Feasibility of Creating Iris Periocular Morphed Images
https://github.com/cvrl/deformirisnet
공식 코드DeformIrisNet: An Identity-Preserving Model of Iris Texture Deformation
https://github.com/cvrl/forensic-iris-image-synthesis
공식 코드https://github.com/dpbenalcazar/ArtificialDilation
공식 코드Artificial Pupil Dilation for Data Augmentation in Iris Semantic Segmentation
https://github.com/ecker-lab/sensorium_2023
공식 코드https://github.com/iPRoBe-lab/D-NetPAD
공식 코드D-NetPAD: An Explainable and Interpretable Iris Presentation Attack Detector
https://github.com/jalilnkh/kartalol-nir-isl2021031301
공식 코드https://github.com/peanuth/familiarity-queryspec
공식 코드Characterising Topic Familiarity and Query Specificity Using Eye-Tracking Data
https://github.com/sawyercharlton/Generative-Iris-Prior-Embedded-Transformer-for-Iris-Restoration
공식 코드Generative Iris Prior Embedded Transformer for Iris Restoration
https://github.com/scale-lab/FCNiris
공식 코드A Resource-Efficient Embedded Iris Recognition System Using Fully Convolutional Networks
https://github.com/sinzlab/sensorium
공식 코드The Sensorium competition on predicting large-scale mouse primary visual cortex activity
https://gitlab.lrz.de/hctl/Iris-Obfuscation-Benchmark
공식 코드Trade-offs in Privacy-Preserving Eye Tracking through Iris Obfuscation: A Benchmarking Study
https://gitlab.lrz.de/hctl/Iris-Style-Transfer
공식 코드https://github.com/CVRL/iris-recognition-OTS-DNN
Iris Recognition with Image Segmentation Employing Retrained Off-the-Shelf Deep Neural Networks
https://github.com/Developer-Y/cs-video-courses
Analyzing Covariate Influence on Gender and Race Prediction from Near-Infrared Ocular Images
https://github.com/NihadHassan999/DeepIris_Recognition
https://github.com/aczajka/iris-recognition---pm-diseased-human-driven-bsif
Domain-Specific Human-Inspired Binarized Statistical Image Features for Iris Recognition
https://github.com/bryanlimy/V1T
The Sensorium competition on predicting large-scale mouse primary visual cortex activity
https://github.com/cvrl/opensourceirisrecognition
Post-mortem Iris Recognition with Deep-Learning-based Image Segmentation
https://github.com/nisone2000/sensorium
The Sensorium competition on predicting large-scale mouse primary visual cortex activity
https://github.com/sharmaGIT/D-NetPAD
D-NetPAD: An Explainable and Interpretable Iris Presentation Attack Detector
https://github.com/sohaib50k/RESIST-Iris-template-reconstruction
https://github.com/sohaib50k/ThirdEye---Iris-recognition-using-triplets
ThirdEye: Triplet Based Iris Recognition without Normalization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.