| _ | sat | _ |
|---|
| Assessing Greenhouse Gas Monitoring Capabilities Using SolAtmos End-to-End Simulator: Application to the Uvsq- | sat | NG Mission |
| INSPIRE- | sat | 7, a Second CubeSat to Measure the Earth's Energy Budget and to Probe the Ionosphere |
| Logic as Energy: A | sat | -Based Approach |
| New Method Based on a Multilayer Perceptron Network to Determine In-Orbit | sat | ellite Attitude for Spacecrafts without Active ADCS Like UVSQ-SAT, A |
| Pico- | sat | to Ground Control: Optimizing Download Link via Laser Communication |
| Protein Interaction Inference as a MAX- | sat | Problem |
| sat | -based parser and completer for pictures specified by tiling, A |
| sat | -CNN: A Small Neural Network for Object Recognition from Satellite Imagery |
| sat | -Mesh: Learning Neural Implicit Surfaces for Multi-View Satellite Reconstruction |
| sat | -NeRF: Learning Multi-View Satellite Photogrammetry With Transient Objects and Shadow Modeling Using RPC Cameras |
| sat | -Net: Self-Attention and Temporal Fusion for Facial Action Unit Detection |
| sat | : 2D Semantics Assisted Training for 3D Visual Grounding |
| sat | : Scale-Augmented Transformer for Person Search |
| sat | : Self-Adaptive Training for Fashion Compatibility Prediction |
| sat | S: Self-attention transfer for continual semantic segmentation |
| sat | S: Structure-Aware Touch-Based Scrolling |
| Spatial-Aware Transformer ( | sat | ): Enhancing Global Modeling in Transformer Segmentation for Remote Sensing Images |
| Truth-table Net: A New Convolutional Architecture Encodable by Design into | sat | Formulas |
| Use of the Gray-Level | sat | to Find the Salient Cavities in Echocardiograms, The |
| use of the grey level | sat | to find the salient cavities in echocardiograms, The |
| Uvsq- | sat | NG, a New CubeSat Pathfinder for Monitoring Earth Outgoing Energy and Greenhouse Gases |
| UVSQ- | sat | , a Pathfinder CubeSat Mission for Observing Essential Climate Variables |
| UVSQ- | sat | /INSPIRESat-5 CubeSat Mission: First In-Orbit Measurements of the Earth's Outgoing Radiation, The |
| VL- | sat | : Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud |
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