https://github.com/yjxiong/temporal-segment-networks
공식 코드Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
OTAS: Unsupervised Boundary Detection for Object-Centric Temporal Action Segmentation
SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction
OFMPNet: Deep End-to-End Model for Occupancy and Flow Prediction in Urban Environment
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks
Self-supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences
Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization
Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention
Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos
Human Action Recognition Using Deep Multilevel Multimodal (M2) Fusion of Depth and Inertial Sensors
Hierarchical growing grid networks for skeleton based action recognition
Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis
STMT: A Spatial-Temporal Mesh Transformer for MoCap-Based Action Recognition
CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning
Unsupervised Pre-training for Temporal Action Localization Tasks
Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models
BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving
Motion-aware Memory Network for Fast Video Salient Object Detection
Mitigating Safety Fallback in Editing-based Backdoor Injection on LLMs
Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction
A New Benchmark and Model for Challenging Image Manipulation Detection
Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs
Gradient Rewiring for Editable Graph Neural Network Training
Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels
Faster Learning of Temporal Action Proposal via Sparse Multilevel Boundary Generator
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.