https://github.com/GiuliaDAngelo/Speckegomotion
공식 코드Wandering around: A bioinspired approach to visual attention through object motion sensitivity
Papers with Code 아카이브
Muscle-Computer Interfaces (MCIs)
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An interaction methodology that directly senses and decodes human muscular activity rather than relying on physical device actuation or user actions that are externally visible or audible.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/arclab-hku/supereio
공식 코드SuperEIO: Self-Supervised Event Feature Learning for Event Inertial Odometry
https://github.com/cdjkim/respec
공식 코드ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams
https://github.com/fmi-basel/neural-decoding-RSNN
공식 코드Decoding finger velocity from cortical spike trains with recurrent spiking neural networks
https://github.com/lfd/rl_for_jo
공식 코드Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation
https://github.com/patrickltobing/cyclevae-vc-neuralvoco
공식 코드https://github.com/sp-uhh/mp-gtf
공식 코드A Multi-Phase Gammatone Filterbank for Speech Separation via TasNet
https://github.com/IdahoLabResearch/5GAD
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.