Papers with Code 아카이브
Age And Gender Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Age and gender classification is a dual-task of identifying the age and gender of a person from an image or video.
<span style="color:grey; opacity: 0.6">( Image credit: Multi-Expert Gender Classification on Age Group by Integrating Deep Neural Networks )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Tao-Mind/QDD_Net
https://github.com/TieDanCuihua/A-STRUCTURED-SELF-ATTENTIVE-SENTENCE-EMBEDDING
https://github.com/ZmeiGorynych/transformer_pytorch
https://github.com/anirudharc/transformer
https://github.com/axeber01/dold
Rank consistent ordinal regression for neural networks with application to age estimation
https://github.com/celsolbm/Attention_Text
https://github.com/celsolbm/imdb_sentiment_experiments
https://github.com/ck37/coral-ordinal
Rank consistent ordinal regression for neural networks with application to age estimation
https://github.com/dataflowr/self-attentive-sentence-embedding
https://github.com/dhesenkamp/attentive-lstm
https://github.com/dmlc/gluon-nlp
https://github.com/dpressel/rude-carnie
https://github.com/esadsetts/Mod_4_project
https://github.com/eth-sri/llm-anonymization
https://github.com/facebookresearch/pytext
https://github.com/hantek/SelfAttentiveSentEmbed
https://github.com/ivclab/PAE
https://github.com/ivclab/agegenderLMTCNN
https://github.com/jadore801120/attention-is-all-you-need-pytorch
https://github.com/jingyuanz/keras-self-attention-layer
https://github.com/kalaivani-s/self-attentive-sent-emb
https://github.com/kaushalshetty/Structured-Self-Attention
https://github.com/kenkenling/NLP
https://github.com/laohur/LearnToCompareText
https://github.com/laohur/RelationNet
https://github.com/leejieun51/transformer
https://github.com/liqichen6688/duo-attention
https://github.com/mshehrozsajjad/Age-Classification
Rank consistent ordinal regression for neural networks with application to age estimation
https://github.com/natel9178/transformer-refork
https://github.com/p0werweirdo/tagfcl
Compacting, Picking and Growing for Unforgetting Continual Learning
https://github.com/paddorch/SelfAttnSent.paddle
https://github.com/prakashpandey9/Text-Classification-Pytorch
https://github.com/roomylee/self-attentive-emb-tf
https://github.com/shijx12/AR-Tree
https://github.com/simonjisu/nsmc_study
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.