https://github.com/learninginvision/spu
공식 코드Self-Paced Deep Regression Forests with Consideration of Ranking Fairness
Papers with Code 아카이브
Age Estimation
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Age Estimation is the task of estimating the age of a person from an image some other kind of data.
<span style="color:grey; opacity: 0.6">( Image credit: BridgeNet )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lemuelpuglisi/synthba
공식 코드SynthBA: Reliable Brain Age Estimation Across Multiple MRI Sequences and Resolutions
https://github.com/lxq1000/faceptor
공식 코드https://github.com/lxq1000/swinface
공식 코드https://github.com/maxdreyer/reveal2revise
공식 코드Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models
https://github.com/nathanlem1/igae-net
공식 코드https://github.com/ndb796/machineunlearning
공식 코드https://github.com/nhshin-mcl/mwr
공식 코드Moving Window Regression: A Novel Approach to Ordinal Regression
https://github.com/paplhjak/facial-age-estimation-benchmark
공식 코드https://github.com/prijatelj/bayesian_eval_ground_truth-free
공식 코드A Bayesian Evaluation Framework for Subjectively Annotated Visual Recognition Tasks
https://github.com/qinxiaoyi/cross-age_speaker_verification
공식 코드Cross-Age Speaker Verification: Learning Age-Invariant Speaker Embeddings
https://github.com/ramihaf/mtf_data_set
공식 코드https://github.com/raywang335/l2rclip
공식 코드https://github.com/redcping/Delta_Age_AdaIN
공식 코드DAA: A Delta Age AdaIN operation for age estimation via binary code transformer
https://github.com/ruizhe-l/tgb-gan
공식 코드https://github.com/shangeth/Speaker-Representation-for-Speaker-Profiling
공식 코드Learning Speaker Representation with Semi-supervised Learning approach for Speaker Profiling
https://github.com/shengfly/global-local-transformer
공식 코드https://github.com/silvialaurapintea/reg-cls
공식 코드A step towards understanding why classification helps regression
https://github.com/spring-epfl/iccwd
공식 코드A Manually Annotated Image-Caption Dataset for Detecting Children in the Wild
https://github.com/tae898/age-gender
공식 코드Generalizing MLPs With Dropouts, Batch Normalization, and Skip Connections
https://github.com/tarun360/speakerprofiling
공식 코드Estimation of speaker age and height from speech signal using bi-encoder transformer mixture model
https://github.com/umgupta/2d-slice-set-networks-for-brain-age
공식 코드https://github.com/uynaes/rankingawareclip
공식 코드Ranking-aware adapter for text-driven image ordering with CLIP
https://github.com/wildchlamydia/mivolo
공식 코드MiVOLO: Multi-input Transformer for Age and Gender Estimation
https://github.com/wuzipengyl/itarget-interpretable-tailored-age-regression-for-grouped-epigenetic-traits
공식 코드iTARGET: Interpretable Tailored Age Regression for Grouped Epigenetic Traits
https://github.com/xhp-hust-2018-2011/dcreg
공식 코드https://github.com/xk-huang/OrdinalCLIP
공식 코드OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression
https://github.com/xmba15/ai4eo_map_your_city
공식 코드Building Age Estimation: A New Multi-Modal Benchmark Dataset and Community Challenge
https://github.com/xmed-lab/ucvme
공식 코드https://github.com/yipersevere/age-estimation
공식 코드https://github.com/zyx2012/Age_estimation_BMVC2017
공식 코드https://github.com/ArsenalCheng/Meta-Adapter
https://github.com/Bsingstad/ECG-age
https://github.com/DILiS-lab/drivers-of-predictive-aleatoric-uncertainty
FP-Age: Leveraging Face Parsing Attention for Facial Age Estimation in the Wild
https://github.com/Gahyeonkim09/AAPL
https://github.com/KarimArmanious/Age-Net
Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.