3D Face Modelling
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/idt-iti/lightweight-face-detector-pruning
공식 코드Filter-Pruning of Lightweight Face Detectors Using a Geometric Median Criterion
https://github.com/idt-iti/xai-deepfakes
공식 코드Towards Quantitative Evaluation of Explainable AI Methods for Deepfake Detection
https://github.com/igor-morawski/tmm-sem
공식 코드Leveraging Content and Context Cues for Low-Light Image Enhancement
https://github.com/igsb/gestaltmatcher-arc
공식 코드Improving Deep Facial Phenotyping for Ultra-rare Disorder Verification Using Model Ensembles
https://github.com/ihp-lab/fg-net
공식 코드FG-Net: Facial Action Unit Detection with Generalizable Pyramidal Features
https://github.com/ihuhuhu/RAC
공식 코드Balancing Value Underestimation and Overestimation with Realistic Actor-Critic
https://github.com/iitkcpslab/rlstl
공식 코드STL-Based Synthesis of Feedback Controllers Using Reinforcement Learning
https://github.com/iman2693/gdsm
공식 코드Brain Age Estimation with a Greedy Dual-Stream Model for Limited Datasets
https://github.com/imatge-upc/wav2pix
공식 코드Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks
https://github.com/indylab/delayeddreamer
공식 코드Reinforcement Learning from Delayed Observations via World Models
https://github.com/intel-isl/LMRS
공식 코드https://github.com/intelai/cerl
공식 코드https://github.com/intelligent-control-lab/absolute-policy-optimization
공식 코드https://github.com/intelligent-reliable-autonomous-systems/gcrs-expert-abstractions
공식 코드Learning with Expert Abstractions for Efficient Multi-Task Continuous Control
https://github.com/iperov/DeepFaceLab
공식 코드DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/iremeyiokur/multipie_extended_ear_dataset
공식 코드Multimodal Age and Gender Classification Using Ear and Profile Face Images
https://github.com/irisdominguez/dataset-bias-metrics
공식 코드https://github.com/irvingmeng/securevector
공식 코드Towards Privacy-Preserving, Real-Time and Lossless Feature Matching
https://github.com/isi-vista/face-completion
공식 코드https://github.com/isluoshuang/macfn
공식 코드Multi-Agent Continuous Control with Generative Flow Networks
https://github.com/isspek/cross-lingual-cyberbullying
공식 코드Unified and Multilingual Author Profiling for Detecting Haters
https://github.com/ivclab/CPG
공식 코드Compacting, Picking and Growing for Unforgetting Continual Learning
https://github.com/ivclab/Online-Face-Recognition-and-Authentication
공식 코드Data-specific Adaptive Threshold for Face Recognition and Authentication
https://github.com/ivonacolakovic/synthgap-mitigation-using-kd-in-ffr
공식 코드How Knowledge Distillation Mitigates the Synthetic Gap in Fair Face Recognition
https://github.com/j-alex-hanson/rethinking-race-face-datasets
공식 코드Rethinking Common Assumptions to Mitigate Racial Bias in Face Recognition Datasets
https://github.com/jaayala/risk_aware_contextual_bandit
공식 코드Risk-Aware Continuous Control with Neural Contextual Bandits
https://github.com/jabumldev/speaker-vgg-cct
공식 코드https://github.com/jackie840129/fedfr
공식 코드FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition
https://github.com/jacobandreas/psketch
공식 코드Modular Multitask Reinforcement Learning with Policy Sketches
https://github.com/jacobzhaoziyuan/amr-loss
공식 코드https://github.com/jacooba/hyper
공식 코드https://github.com/jagmohaniiit/3dfacemorph
공식 코드3D Face Morphing Attacks: Generation, Vulnerability and Detection
https://github.com/jagmohaniiit/latentcompositioncode
공식 코드Deep Composite Face Image Attacks: Generation, Vulnerability and Detection
https://github.com/jakegrigsby/deep_control
공식 코드Towards Automatic Actor-Critic Solutions to Continuous Control
https://github.com/jakegrigsby/dmc_remastered
공식 코드Measuring Visual Generalization in Continuous Control from Pixels
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.