https://github.com/pyannote/pyannote-audio
공식 코드pyannote.audio: neural building blocks for speaker diarization
Papers with Code 아카이브
Action Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 8
- 평가표
- 11
- 보존된 평가 기록
- 81
Action Detection aims to find both where and when an action occurs within a video clip and classify what the action is taking place. Typically results are given in the form of action tublets, which are action bounding boxes linked across time in the video. This is related to temporal localization, which seeks to identify the start and end frame of an action, and action recognition, which seeks only to classify which action is taking place and typically assumes a trimmed video.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/raghavgoyal14/minotaur/tree/rgv/all-tasks
공식 코드MINOTAUR: Multi-task Video Grounding From Multimodal Queries
https://github.com/rajatmodi62/occludedactionbenchmark
공식 코드On Occlusions in Video Action Detection: Benchmark Datasets And Training Recipes
https://github.com/rash1993/movie-asd
공식 코드Audio-Visual Activity Guided Cross-Modal Identity Association for Active Speaker Detection
https://github.com/razzu/cmc-cmkm
공식 코드Contrastive Learning with Cross-Modal Knowledge Mining for Multimodal Human Activity Recognition
https://github.com/realcrane/BASAR-Black-box-Attack-on-Skeletal-Action-Recognition
공식 코드https://github.com/realcrane/Defending-Black-box-Skeleton-based-Human-Activity-Classifiers
공식 코드Defending Black-box Skeleton-based Human Activity Classifiers
https://github.com/realcrane/SMART
공식 코드Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack
https://github.com/realcrane/robustactionrecogniser
공식 코드Defending Black-box Skeleton-based Human Activity Classifiers
https://github.com/ritatanz/sav
공식 코드Towards Student Actions in Classroom Scenes: New Dataset and Baseline
https://github.com/rmazzier/star
공식 코드Attention-Refined Unrolling for Sparse Sequential micro-Doppler Reconstruction
https://github.com/rogetk/oddet
공식 코드https://github.com/ruizehan/par
공식 코드https://github.com/ruizhuo-xu/skeleton2vec
공식 코드https://github.com/saif-mahmud/hierarchical-attention-HAR
공식 코드Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition
https://github.com/saif-mahmud/self-attention-HAR
공식 코드Human Activity Recognition from Wearable Sensor Data Using Self-Attention
https://github.com/sandeep-189/data-augmentation
공식 코드Transformer Networks for Data Augmentation of Human Physical Activity Recognition
https://github.com/sauradip/diffusiontad
공식 코드DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion
https://github.com/sauradip/fewshotQAT
공식 코드Few-Shot Temporal Action Localization with Query Adaptive Transformer
https://github.com/sauradip/gap
공식 코드https://github.com/sauradip/muppet
공식 코드https://github.com/sauradip/spot
공식 코드Semi-Supervised Temporal Action Detection with Proposal-Free Masking
https://github.com/sauradip/stale
공식 코드Zero-Shot Temporal Action Detection via Vision-Language Prompting
https://github.com/sauradip/tags
공식 코드Proposal-Free Temporal Action Detection via Global Segmentation Mask Learning
https://github.com/scofiedluo/wo-gma
공식 코드Weakly Supervised Online Action Detection for Infant General Movements
https://github.com/scut-cszcl/sfusion
공식 코드SFusion: Self-attention based N-to-One Multimodal Fusion Block
https://github.com/sdimi/Step2heart
공식 코드Learning Generalizable Physiological Representations from Large-scale Wearable Data
https://github.com/sez-harn/sez-harn
공식 코드SEZ-HARN: Self-Explainable Zero-shot Human Activity Recognition Network
https://github.com/sfadingz/tse_gcn
공식 코드Topological Symmetry Enhanced Graph Convolution for Skeleton-Based Action Recognition
https://github.com/shahroudy/NTURGB-D
공식 코드NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis
https://github.com/shanakarg/stjd-spatio-temporal-joint-density-driven-learning-for-skeleton-based-action-recognition
공식 코드Spatio-Temporal Joint Density Driven Learning for Skeleton-Based Action Recognition
https://github.com/shanice-l/st-cubism
공식 코드Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based Action Recognition
https://github.com/shirleymaxx/chimpact
공식 코드ChimpACT: A Longitudinal Dataset for Understanding Chimpanzee Behaviors
https://github.com/siatheindochinese/sia_act_placeholder
공식 코드https://github.com/signal-park/resolution-adaptive-spectrogram
공식 코드Resolution-Adaptive Micro-Doppler Spectrogram for Human Activity Recognition
https://github.com/signetlabdei/sharp
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.