https://github.com/ghksdl6025/streaming_anomaly_detect
공식 코드The Analysis of Online Event Streams: Predicting the Next Activity for Anomaly Detection
Papers with Code 아카이브
Action Localization
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Action Localization is finding the spatial and temporal co ordinates for an action in a video. An action localization model will identify which frame an action start and ends in video and return the x,y coordinates of an action. Further the co ordinates will change when the object performing action undergoes a displacement.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/githubofhyl97/skeattnclr
공식 코드Part Aware Contrastive Learning for Self-Supervised Action Recognition
https://github.com/gitzh-chen/liebn
공식 코드https://github.com/gitzh-chen/spdmlr
공식 코드Riemannian Multinomial Logistics Regression for SPD Neural Networks
https://github.com/gkioxari/RstarCNN
공식 코드https://github.com/gongda0e/kari
공식 코드https://github.com/google-research/google-research
공식 코드https://github.com/google-research/google-research/tree/master/vatt
공식 코드VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
https://github.com/google-research/google-research/tree/master/vct
공식 코드https://github.com/google-research/scenic
공식 코드https://github.com/google-research/zapbench
공식 코드ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish
https://github.com/google/belief-localization
공식 코드https://github.com/google/next-prediction
공식 코드Peeking into the Future: Predicting Future Person Activities and Locations in Videos
https://github.com/grasshlw/snn-neural-similarity-movie
공식 코드https://github.com/gsaponaro/tcds-gestures
공식 코드Beyond the Self: Using Grounded Affordances to Interpret and Describe Others' Actions
https://github.com/gsig/actor-observer
공식 코드Actor and Observer: Joint Modeling of First and Third-Person Videos
https://github.com/gsig/temporal-fields
공식 코드https://github.com/guoweixu368/sld-hmp
공식 코드Learning Semantic Latent Directions for Accurate and Controllable Human Motion Prediction
https://github.com/guoyang9/AdaVQA
공식 코드https://github.com/h-bouzid/spatr
공식 코드SpATr: MoCap 3D Human Action Recognition based on Spiral Auto-encoder and Transformer Network
https://github.com/hammadrizwan/PENME
공식 코드Resolving Lexical Bias in Edit Scoping with Projector Editor Networks
https://github.com/handhand123/prsa-net
공식 코드Pyramid Region-based Slot Attention Network for Temporal Action Proposal Generation
https://github.com/hanielwang/tvnet
공식 코드https://github.com/haohuang2003/sfhead
공식 코드Synchronized and Fine-Grained Head for Skeleton-Based Ambiguous Action Recognition
https://github.com/haozheng-sjtu/3d-airway-segmentation
공식 코드Alleviating Class-wise Gradient Imbalance for Pulmonary Airway Segmentation
https://github.com/happy-lifi/BCNet
공식 코드Temporal Action Proposal Generation with Background Constraint
https://github.com/happyharrycn/actionformer_release
공식 코드ActionFormer: Localizing Moments of Actions with Transformers
https://github.com/hartvigsen-group/composable-interventions
공식 코드https://github.com/hassancpu/Temporal-Action-Localization
공식 코드https://github.com/hayatkhan8660-maker/DVFL-Net
공식 코드https://github.com/hbilen/dynamic-image-nets
공식 코드https://github.com/hehefan/Point-Spatio-Temporal-Convolution
공식 코드PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences
https://github.com/heleiqiu/sttformer
공식 코드Spatio-Temporal Tuples Transformer for Skeleton-Based Action Recognition
https://github.com/heng840/amig
공식 코드https://github.com/hengrui-gu/pokemqa
공식 코드PokeMQA: Programmable knowledge editing for Multi-hop Question Answering
https://github.com/hengrui-gu/t2iknowledgeediting
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.