Papers with Code 아카이브
Visual Speech Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 2
- 보존된 평가 기록
- 5
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/aimbsg/EVA4_S15
https://github.com/albarji/neurowriter
https://github.com/amitai1992/AutomatedLipReading
https://github.com/andreasveit/densenet-pytorch
https://github.com/arnavdodiedo/DenseNet-Fashion-MNIST
https://github.com/arnavdodiedo/DenseNet-MNIST
https://github.com/around-star/Speech-Recognition
Recurrent Neural Network Transducer for Audio-Visual Speech Recognition
https://github.com/asad-62/IVP-DNN
https://github.com/asprenger/keras_fc_densenet
https://github.com/atapour/ransomware-classification
https://github.com/ayushpatidar/PR1-DenseNet
https://github.com/azima-fariha/DeepLearning_DenselyConnectedConvolutionalNetworks
https://github.com/bamos/densenet.pytorch
https://github.com/bethgelab/InDomainGeneralizationBenchmark
https://github.com/bfortuner/pytorch_tiramisu
https://github.com/bhaskar-gaur/DenseNet-Keras
https://github.com/boris127/vehicle-detection
https://github.com/bozliu/E2E-Keyword-Spotting
https://github.com/cges60809/DenseNet
https://github.com/cmasch/densenet
https://github.com/code-implementation1/Code1/tree/main/densenet
https://github.com/datoboat/Vehicle-Detection
https://github.com/earthLD/Algorithm
https://github.com/ericjang/odin
https://github.com/fabiofumarola/ultrayolo
https://github.com/fengjiqiang/pretrainedmodel_pytorch
https://github.com/flyyufelix/DenseNet-Keras
https://github.com/fxfviolet/Densenet_for_quiz_classification
https://github.com/gaalszandi/visual_speech_recognition
https://github.com/gaetandi/cheXpert
https://github.com/gargarchit/60DaysOfUdacity
https://github.com/greatsharma/DeepLearning-Papers-Implementation
https://github.com/hycis/TensorGraph
https://github.com/idobronstein/vision_networks
https://github.com/ihamdi/Covid-xRay-Classification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.