https://github.com/beepkh/unike
공식 코드Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration
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/benedettaliberatori/t3al
공식 코드https://github.com/benjaminfiltjens/ms-gcn
공식 코드https://github.com/bfshi/DGAM-Weakly-Supervised-Action-Localization
공식 코드Weakly-Supervised Action Localization by Generative Attention Modeling
https://github.com/bghojogh/Fisherposes
공식 코드Recognizing Involuntary Actions from 3D Skeleton Data Using Body States
https://github.com/bghojogh/Roweisposes
공식 코드Roweisposes, Including Eigenposes, Supervised Eigenposes, and Fisherposes, for 3D Action Recognition
https://github.com/bigai-ai/ICE
공식 코드In-Context Editing: Learning Knowledge from Self-Induced Distributions
https://github.com/bmartacho/UniPose
공식 코드UniPose: Unified Human Pose Estimation in Single Images and Videos
https://github.com/boheumd/asm-loc
공식 코드ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization
https://github.com/boneddeng/tadml
공식 코드https://github.com/boschresearch/uvast
공식 코드https://github.com/bouracha/OoDMotion
공식 코드https://github.com/bradleywang0416/gcnext
공식 코드GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction
https://github.com/brian7685/Multimodal-Clustering-Network
공식 코드Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos
https://github.com/brinkl/graphhetnet
공식 코드https://github.com/brjathu/LART
공식 코드On the Benefits of 3D Pose and Tracking for Human Action Recognition
https://github.com/bruthyu/melo
공식 코드MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA
https://github.com/bryanyzhu/Hidden-Two-Stream
공식 코드Hidden Two-Stream Convolutional Networks for Action Recognition
https://github.com/bshfang/self-supervised-motion
공식 코드Self-Supervised Bird's Eye View Motion Prediction with Cross-Modality Signals
https://github.com/btgraham/SparseConvNet
공식 코드https://github.com/buptsjzhang/std-cl
공식 코드Spatial-Temporal Decoupling Contrastive Learning for Skeleton-based Human Action Recognition
https://github.com/buptsjzhang/ta-mlp
공식 코드https://github.com/buxiangzhiren/contextloc
공식 코드Enriching Local and Global Contexts for Temporal Action Localization
https://github.com/byronbbl/deck
공식 코드Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts
https://github.com/cagatayyildiz/ODE2VAE
공식 코드ODE$^2$VAE: Deep generative second order ODEs with Bayesian neural networks
https://github.com/camma-public/tripnet
공식 코드Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets
https://github.com/canbaoburen/CoDT
공식 코드https://github.com/cap-ntu/ML-Model-CI
공식 코드ModelPS: An Interactive and Collaborative Platform for Editing Pre-trained Models at Scale
https://github.com/carloscaetano/skeleton-images
공식 코드https://github.com/caskcsg/lyaplock
공식 코드LyapLock: Bounded Knowledge Preservation in Sequential Large Language Model Editing
https://github.com/cg1177/dcan
공식 코드DCAN: Improving Temporal Action Detection via Dual Context Aggregation
https://github.com/changchangsun/forget-vector
공식 코드https://github.com/chengxuduan/advhmp
공식 코드Physics-constrained Attack against Convolution-based Human Motion Prediction
https://github.com/chenhaoxing/etl4video
공식 코드Efficient Transfer Learning for Video-language Foundation Models
https://github.com/chenhuihu/knowledge_in_superposition
공식 코드https://github.com/chenhuihu/wilke
공식 코드WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.