https://github.com/Tsinghua-MARS-Lab/DenseTNT
공식 코드DenseTNT: Waymo Open Dataset Motion Prediction Challenge 1st Place Solution
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/Uason-Chen/CTR-GCN
공식 코드Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition
https://github.com/UgurDemir/Tiny-VIRAT
공식 코드https://github.com/Usman1021/DLE
공식 코드Deep Ensemble Learning with Frame Skipping for Face Anti-Spoofing
https://github.com/V-Sense/ACTION-Net
공식 코드https://github.com/VITA-Group/21LPCV-UAV-Solution
공식 코드https://github.com/VITA-Group/Privacy-AdversarialLearning
공식 코드Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study
https://github.com/Va6lue/BST-Badminton-Stroke-type-Transformer
공식 코드BST: Badminton Stroke-type Transformer for Skeleton-based Action Recognition in Racket Sports
https://github.com/Varyn/WSDM-challenge-2019-spotify
공식 코드Modelling Sequential Music Track Skips using a Multi-RNN Approach
https://github.com/VisionLearningGroup/R-C3D
공식 코드R-C3D: Region Convolutional 3D Network for Temporal Activity Detection
https://github.com/Walter0807/MotionBERT
공식 코드MotionBERT: A Unified Perspective on Learning Human Motion Representations
https://github.com/Wangjhdeveloper/CETNet
공식 코드https://github.com/Woodenonez/DyObAv_MPCnEBM_Warehouse
공식 코드https://github.com/XZhang00/LU-LAFNs
공식 코드Multilingual Knowledge Editing with Language-Agnostic Factual Neurons
https://github.com/XiaoxG/waveMotion-lightning
공식 코드Probabilistic prediction of the heave motions of a semi-submersible by a deep learning problem model
https://github.com/YangDi666/UNIK
공식 코드UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition
https://github.com/YinxPeng/HA-CM-main
공식 코드https://github.com/Ymm-cll/UniErase
공식 코드UniErase: Unlearning Token as a Universal Erasure Primitive for Language Models
https://github.com/YueWuHKUST/FutureVideoSynthesis
공식 코드https://github.com/ZheC/GTA-IM-Dataset
공식 코드https://github.com/ZheLi2020/TimestampActionSeg
공식 코드https://github.com/ZhenyueQin/Angular-Skeleton-Encoding
공식 코드Fusing Higher-order Features in Graph Neural Networks for Skeleton-based Action Recognition
https://github.com/ZhouYuxuanYX/Hypergraph-Transformer-for-Skeleton-based-Action-Recognition
공식 코드Hypergraph Transformer for Skeleton-based Action Recognition
https://github.com/Zhow01/S2RKE
공식 코드https://github.com/ZichenMiao/GNN-with-Low-rank-Learnable-Local-Filters
공식 코드https://github.com/ZichenMiao/L3Net
공식 코드https://github.com/ZiweiXU/CapsuleMotion
공식 코드Unsupervised Motion Representation Learning with Capsule Autoencoders
https://github.com/a-pru/emp
공식 코드https://github.com/a-rebmann/llms4pm
공식 코드Evaluating the Ability of LLMs to Solve Semantics-Aware Process Mining Tasks
https://github.com/aa-samad/conv_snn
공식 코드Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction
https://github.com/aaai-24/generative-based-kd
공식 코드Generative Model-based Feature Knowledge Distillation for Action Recognition
https://github.com/abcyzj/Semantics2Hands
공식 코드Semantics2Hands: Transferring Hand Motion Semantics between Avatars
https://github.com/abcyzj/meshret
공식 코드Skinned Motion Retargeting with Dense Geometric Interaction Perception
https://github.com/abduallahmohamed/FollowMe
공식 코드FollowMe: Vehicle Behaviour Prediction in Autonomous Vehicle Settings
https://github.com/abduallahmohamed/Social-STGCNN
공식 코드https://github.com/abduallahmohamed/skeleton-graph
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.