ETRI-Knowledge Sharing Plaform

State-Of-The-Art Backbone Network Image Modeling Auto-Encoder(AE) Pre-Training Knowledge Distillation Anchor-Free Memory-Efficient Computational Cost Pruning Method Text Embedding Estimation Method Model Parameter Diffusion Model Feature Representation Modeling Method Computer Vision(CV) Computational Requirements Superior Performance Image Synthesis Self-Supervised Learning Energy Consumption Language Models Receptive Field Exponential Moving Average Efficient Architecture Fine-Tuning Long Range Real-World Applications Two-Stage Supervised Approach Spatiotemporal Features Application Programming Interface Safety-Critical Systems Multi-Stage Various Models Adversarial Training Feature Map Detection Performance Empirical Analysis Human Annotation Multi-Scale Patch Device Applications Video Retrieval Surgical Robot Image Quality Anchor-Based Dirac Delta Quality Metrics Gaussian Distribution Low Energy Classification Task Ground Truth Video And Text Distribution Network(DN) Autonomous Driving Image Patch Natural Language Processing(NLP) Over Time Restore Performance 3d Architecture Collecting Data Context Coherence In-Context Covariate Shift Heterogeneous Object Multiple Datasets Video-To-Text Hyper-Parameters Service Provider Visual Surveillance System Highly Sensitive Personalized Service Deep Neural Network(DNN) Optimization Problem Object Detector Object Properties Surveillance Video Sensor Noise Classification Problems Energy Efficiency Supervised Training Sequence Length Artificial Intelligence Bounding Box Use Cases Service Model Back Tracking Fast Diffusion Service Elements Temporal Modeling Content Integrity Feature Level Tracking Method Free Object Multi-Modal Linear Probing Edge Devices Multi-Path Structure Multiple Paths Memory Usage Media Service Need For Linear Model Convolution Neural Network(CNN) Spatial Attention Delivery Efficiency Behavior Understanding Generative Models Multi-Scale Feature Conventional Methods Content Creation Progressive Compression Video Classification Similarity-Based Methods Large-Scale Multiple Network One-Stage New Object Detection Modeling Architecture Multi-Scale Representation Multi-Task Learning Video Fusion Incomplete Data Ensemble Method Efficiency And Effectiveness Small Objects Semantic Process Short-Range Training Process Bidirectional Interaction Action Recognition Temporal Aggregation Target Model Feed-Forward Visual Representation Spatial And Temporal Information Loss Low Rank Supervised Learning Algorithm Critical Object Feature Hierarchy Gradient Direction Memory Access Cost Detection Task Real-World Data Video Dataset R-CNN Interaction Approach Large Gap Center Point Effective Model Qualitative Analysis S Role Computational Efficiency Model Misspecification Novel Algorithm Content Provider Delta Distribution Potential Risk Semantic Data Log-Likelihood Rank Adaptation Uncertainty Estimation Generalization Capability Gradient Correction Semantic Segmentation Model Compression Video Encoder Stage Structure Training Phase Small Object Detection Language Modeling Real-Time Object Detection Its Efficiency Image Data Strong Features Video Interaction Video Frames Different Scales