https://github.com/cltl/pepper
공식 코드Leolani: a reference machine with a theory of mind for social communication
Papers with Code 아카이브
3D Action Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
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Image: Rahmani et al
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/crashbugger/mindbridge
공식 코드MindBridge: Scalable and Cross-Model Knowledge Editing via Memory-Augmented Modality
https://github.com/cyfml/opstl
공식 코드Exploring Self-supervised Skeleton-based Action Recognition in Occluded Environments
https://github.com/czh-98/STAR
공식 코드STAR: Skeleton-aware Text-based 4D Avatar Generation with In-Network Motion Retargeting
https://github.com/czhaneva/mst-gcn
공식 코드Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition
https://github.com/czhaneva/skelemixclr
공식 코드https://github.com/damnull/lagcn
공식 코드Language Knowledge-Assisted Representation Learning for Skeleton-Based Action Recognition
https://github.com/deepinmotion/autogcn
공식 코드AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search
https://github.com/deepintostreams/gcn-devlstm
공식 코드GCN-DevLSTM: Path Development for Skeleton-Based Action Recognition
https://github.com/deepmind/deepmind-research
공식 코드Unsupervised Learning of Object Keypoints for Perception and Control
https://github.com/derekpowell/taxi
공식 코드TAXI: Evaluating Categorical Knowledge Editing for Language Models
https://github.com/desehuileng0o0/ikem
공식 코드Elevating Skeleton-Based Action Recognition with Efficient Multi-Modality Self-Supervision
https://github.com/dluvizon/deephar
공식 코드Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition
https://github.com/domenicrosati/longform-evaluation-model-editing
공식 코드https://github.com/dong03/MVSS-Net
공식 코드Image Manipulation Detection by Multi-View Multi-Scale Supervision
https://github.com/dtamayo-nlp/memat
공식 코드Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge
https://github.com/ecnu-text-computing/knowledge-editing-benchmark
공식 코드Benchmarking and Rethinking Knowledge Editing for Large Language Models
https://github.com/edenbiran/rippleedits
공식 코드Evaluating the Ripple Effects of Knowledge Editing in Language Models
https://github.com/edgarschnfld/CADA-VAE-PyTorch
공식 코드Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders
https://github.com/ekgus9/COME
공식 코드CoME: An Unlearning-based Approach to Conflict-free Model Editing
https://github.com/eric-mitchell/mend
공식 코드https://github.com/eric8932/jeep
공식 코드Joint Knowledge Editing for Information Enrichment and Probability Promotion
https://github.com/fabienbaradel/glimpse_clouds
공식 코드Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points
https://github.com/fandulu/DD-Net
공식 코드Make Skeleton-based Action Recognition Model Smaller, Faster and Better
https://github.com/fbarez/neuroplasticity
공식 코드https://github.com/feyzaakyurek/dune
공식 코드https://github.com/firework8/brl
공식 코드Balanced Representation Learning for Long-tailed Skeleton-based Action Recognition
https://github.com/flamewei123/DEPN
공식 코드DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models
https://github.com/fmthoker/skeleton-contrast
공식 코드https://github.com/franklear/lime
공식 코드https://github.com/frankniujc/kn_thesis
공식 코드What does the Knowledge Neuron Thesis Have to do with Knowledge?
https://github.com/gd-goblin/NTU_DB_Data_Loader
공식 코드https://github.com/githubofhyl97/skeattnclr
공식 코드Part Aware Contrastive Learning for Self-Supervised Action Recognition
https://github.com/google-research/google-research
공식 코드https://github.com/google/belief-localization
공식 코드https://github.com/hammadrizwan/PENME
공식 코드Resolving Lexical Bias in Edit Scoping with Projector Editor Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.