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Activity Detection
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Detecting activities in extended videos.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/BUTSpeechFIT/EEND_dataprep
공식 코드https://github.com/Joehaozhang/Bayesian-Activity-Detection-with-Consistent-Sparsity-and-System-Parameter-Learning
공식 코드https://github.com/NickWilkinson37/voxseg
공식 코드https://github.com/VisionLearningGroup/R-C3D
공식 코드R-C3D: Region Convolutional 3D Network for Temporal Activity Detection
https://github.com/aau-es-ml/VAD-with-adversarial-multi-task-learning
공식 코드https://github.com/aispeech-lab/wase
공식 코드WASE: Learning When to Attend for Speaker Extraction in Cocktail Party Environments
https://github.com/alibaba-damo-academy/FunASR
공식 코드https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr
공식 코드Speaker Embedding-aware Neural Diarization for Flexible Number of Speakers with Textual Information
https://github.com/alumae/torch-xvectors-wav
공식 코드https://github.com/anish-lakkapragada/ActivRecognition-Autism-Diagnosis
공식 코드Classification of Abnormal Hand Movement for Aiding in Autism Detection: Machine Learning Study
https://github.com/arnabkmondal/RespVAD
공식 코드RespVAD: Voice Activity Detection via Video-Extracted Respiration Patterns
https://github.com/avc2-uestc/wifitad
공식 코드WiFi CSI Based Temporal Activity Detection via Dual Pyramid Network
https://github.com/bbc/bbc-speech-segmenter
공식 코드X-Vector based voice activity detection for multi-genre broadcast speech-to-text
https://github.com/biboamy/avaspeech_music_labels
공식 코드https://github.com/bigtreeyanger/presence_detection_cnn
공식 코드Harvesting Ambient RF for Presence Detection Through Deep Learning
https://github.com/bootphon/learnable-strf
공식 코드Learning spectro-temporal representations of complex sounds with parameterized neural networks
https://github.com/butspeechfit/eend
공식 코드https://github.com/camma-public/team-or
공식 코드https://github.com/chathukiket/evaluation-of-noise-reduction-methods
공식 코드Evaluation of Noise Reduction Methods for Sentence Recognition by Sinhala Speaking Listeners
https://github.com/daniel03c1/nas_vad
공식 코드NAS-VAD: Neural Architecture Search for Voice Activity Detection
https://github.com/dazhang-cv/S3D
공식 코드S3D: Single Shot multi-Span Detector via Fully 3D Convolutional Networks
https://github.com/deeeeeeplearning/jadce
공식 코드Gan-Based Joint Activity Detection and Channel Estimation For Grant-free Random Access
https://github.com/dmbee/fcn-core
공식 코드Personalized Activity Recognition with Deep Triplet Embeddings
https://github.com/dr-pato/ssgd
공식 코드Low-Latency Speech Separation Guided Diarization for Telephone Conversations
https://github.com/edunlp/nemo-multistage-classroom-diarization
공식 코드https://github.com/egruttadauria98/sspavaldo
공식 코드Online speaker diarization of meetings guided by speech separation
https://github.com/emretaha/siamese-emd-for-amd-change
공식 코드https://github.com/firdavsn/SurgicalFeedbackAI
공식 코드Automating Feedback Analysis in Surgical Training: Detection, Categorization, and Assessment
https://github.com/georgesterpu/Taris
공식 코드https://github.com/google-research/scenic
공식 코드https://github.com/griko/vanpy
공식 코드https://github.com/gurkirt/3D-RetinaNet
공식 코드ROAD: The ROad event Awareness Dataset for Autonomous Driving
https://github.com/gurkirt/actNet-inAct
공식 코드Untrimmed Video Classification for Activity Detection: submission to ActivityNet Challenge
https://github.com/gurkirt/road-dataset
공식 코드ROAD: The ROad event Awareness Dataset for Autonomous Driving
https://github.com/guxm2021/MM_ALT
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.