Papers with Code 아카이브

Visual Speech Recognition

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

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/ikhlestov/vision_networks

Densely Connected Convolutional Networks

https://github.com/jaejunl/hyface

LRS3-TED: a large-scale dataset for visual speech recognition

https://github.com/jbernoz/deeppolyp

Densely Connected Convolutional Networks

https://github.com/jiweibo/imagenet

Densely Connected Convolutional Networks

https://github.com/jmesich/chestxray

Densely Connected Convolutional Networks

https://github.com/joannahong/Speech-Reconstruction-with-Reminiscent-Sound-via-Visual-Voice-Memory

https://github.com/joannahong/lip-to-speech-synthesis-in-the-wild

Lip-to-Speech Synthesis in the Wild with Multi-task Learning

https://github.com/johntd54/stanford_car

Densely Connected Convolutional Networks

https://github.com/jonnor/datascience-master

Densely Connected Convolutional Networks

https://github.com/kaistmm/v2sflow

Intelligible Lip-to-Speech Synthesis with Speech Units

https://github.com/kingcong/densenet

Densely Connected Convolutional Networks

https://github.com/krishnakarthi/COVID-19_Prediction

Densely Connected Convolutional Networks

https://github.com/lab-midas/med_segmentation

Densely Connected Convolutional Networks

https://github.com/lilianemomeni/KWS-Net

Zero-shot keyword spotting for visual speech recognition in-the-wild

https://github.com/lionelmessi6410/ntga

Densely Connected Convolutional Networks

https://github.com/liuzhuang13/DenseNetCaffe

Densely Connected Convolutional Networks

https://github.com/lordmartian/deep_avsr

Deep Audio-Visual Speech Recognition

https://github.com/lpirola13/flower-recognizer

Densely Connected Convolutional Networks

https://github.com/lpirola13/flower_recognizer

Densely Connected Convolutional Networks

https://github.com/manideep2510/Lipreading-Keras

Combining Residual Networks with LSTMs for Lipreading

https://github.com/marload/ConvNets-TensorFlow2

Densely Connected Convolutional Networks

https://github.com/michaeltrs/Lipreading_ResNet_LSTM

Combining Residual Networks with LSTMs for Lipreading

https://github.com/midusi/cacic2019-handshapes

Densely Connected Convolutional Networks

https://github.com/mindspore-ai/models/tree/master/official/cv/densenet

Densely Connected Convolutional Networks

https://github.com/mindspore-courses/MindSpore-classification

Densely Connected Convolutional Networks

https://github.com/mindspore-ecosystem/mindcv/blob/main/mindcv/models/densenet.py

Densely Connected Convolutional Networks

https://github.com/minggli/DenseNet

Densely Connected Convolutional Networks

https://github.com/miraclewkf/densenet

Densely Connected Convolutional Networks

https://github.com/mlvccn/bmtc_transferattackvid

Densely Connected Convolutional Networks

https://github.com/modelhub-ai/densenet

Densely Connected Convolutional Networks

https://github.com/mrkolarik/3d-brain-segmentation

Densely Connected Convolutional Networks

https://github.com/muditrastogi/chestai

Densely Connected Convolutional Networks

https://github.com/nashawnch/Computer-Vision-FerrariDetective

Densely Connected Convolutional Networks

https://github.com/nashawnch/ComputerVision-FerrariDetective

Densely Connected Convolutional Networks

https://github.com/niranjana98/Image-Classification

Densely Connected Convolutional Networks

https://github.com/noahfl/densenet-sdr

Densely Connected Convolutional Networks

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.