https://github.com/hutchresearch/fine-grained-cad
공식 코드Fine-Grained Classroom Activity Detection from Audio with Neural Networks
Papers with Code 아카이브
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/idiap/bert-text-diarization-atc
공식 코드https://github.com/idiap/zff_vad
공식 코드https://github.com/iiscleap/DIHARD_2019_baseline_alltracks
공식 코드The Second DIHARD Diarization Challenge: Dataset, task, and baselines
https://github.com/imatge-upc/activitynet-2016-cvprw
공식 코드Temporal Activity Detection in Untrimmed Videos with Recurrent Neural Networks
https://github.com/ina-foss/InaGVAD
공식 코드https://github.com/jsvir/vad
공식 코드https://github.com/kkahatapitiya/Coarse-Fine-Networks
공식 코드Coarse-Fine Networks for Temporal Activity Detection in Videos
https://github.com/kkahatapitiya/SSDet
공식 코드Weakly-guided Self-supervised Pretraining for Temporal Activity Detection
https://github.com/kyutai-labs/moshi
공식 코드Moshi: a speech-text foundation model for real-time dialogue
https://github.com/marianne-m/brouhaha-vad
공식 코드https://github.com/marthadais/aisclassification
공식 코드https://github.com/mattia-brt/fine_tuning_llm
공식 코드Optimizing Large Language Models for ESG Activity Detection in Financial Texts
https://github.com/merlresearch/tssep
공식 코드TS-SEP: Joint Diarization and Separation Conditioned on Estimated Speaker Embeddings
https://github.com/midas-research/audino
공식 코드https://github.com/mkunes/w2v2_audioframeclassification
공식 코드Multitask Detection of Speaker Changes, Overlapping Speech and Voice Activity Using wav2vec 2.0
https://github.com/ol-mega/ppca
공식 코드Long-term Conversation Analysis: Exploring Utility and Privacy
https://github.com/owenwang517/tvt-2025
공식 코드Pre-Equalization Aided Grant-Free Massive Access in Massive MIMO System
https://github.com/piergiaj/mlb-youtube
공식 코드https://github.com/piergiaj/super-events-cvpr18
공식 코드Learning Latent Super-Events to Detect Multiple Activities in Videos
https://github.com/piergiaj/tgm-icml19
공식 코드https://github.com/pyannote/pyannote-audio
공식 코드pyannote.audio: neural building blocks for speaker diarization
https://github.com/tpekarekrosin/uhh_ub_ageawarehri
공식 코드A Framework for Adapting Human-Robot Interaction to Diverse User Groups
https://github.com/w-wu/steer
공식 코드Integrating Emotion Recognition with Speech Recognition and Speaker Diarisation for Conversations
https://github.com/wangtianrui/HGCN
공식 코드HGCN: Harmonic gated compensation network for speech enhancement
https://github.com/yairl/ivrit.ai
공식 코드ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development
https://github.com/yjxiong/action-detection
공식 코드A Pursuit of Temporal Accuracy in General Activity Detection
https://github.com/zhenghuatan/gmm-ubm_map_sv
공식 코드rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method
https://github.com/zhenghuatan/rVAD
공식 코드rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method
https://github.com/zhenghuatan/rvadfast
공식 코드rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method
https://huggingface.co/pyannote/segmentation
공식 코드End-to-end speaker segmentation for overlap-aware resegmentation
https://github.com/2023-MindSpore-4/Code8/tree/main/C3D
R-C3D: Region Convolutional 3D Network for Temporal Activity Detection
https://github.com/HHousen/speaker-change-detection
End-to-end speaker segmentation for overlap-aware resegmentation
https://github.com/JP1016/presence_detection_cnn
Harvesting Ambient RF for Presence Detection Through Deep Learning
https://github.com/Jo0o0Hyung/Dual-Attention-for-VAD
Dual Attention in Time and Frequency Domain for Voice Activity Detection
https://github.com/MarvinLvn/voice-type-classifier
pyannote.audio: neural building blocks for speaker diarization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.