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Found 8 papers, 2 papers with code
Population-Based Evolutionary Gaming for Unsupervised Person Re-identification
Extensive experiments demonstrate that (1) CRS approximately measures the performance of models without labeled samples; (2) and PEG produces new state-of-the-art accuracy for person re-identification, indicating the great potential of population-based network cooperative training for unsupervised learning.
Knowledge Distillation
Unsupervised Person Re-Identification
Towards Large-scale Single-shot Millimeter-wave Imaging for Low-cost Security Inspection
These elements are then sampled based on the ranking, building the experimentally optimal sparse sampling strategy that reduces the cost of antenna array by up to one order of magnitude.
AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection
Under the domain shift, cross-domain few-shot object detection aims to adapt object detectors in the target domain with a few annotated target data.
Compressive Sensing Based Sparse MIMO Array Optimization for Wideband Near-Field Imaging
In the area of near-field millimeter-wave imaging, the generalized sparse array synthesis (SAS) method is in great demand.
ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
A unified framework named ERNIE 3. 0 was recently proposed for pre-training large-scale knowledge enhanced models and trained a model with 10 billion parameters.
Near-Field Millimeter-Wave Imaging via Arrays in the Shape of Polyline
This paper proposes a polyline shaped array based system scheme, associated with mechanical scanning along the perpendicular direction of the array, for near-field millimeter-wave (MMW) imaging.
Near-Field Millimeter-Wave Imaging via Circular-Arc MIMO Arrays
Millimeter-wave (MMW) imaging has a wide prospect in application of concealed weapons detection.
Efficient Near-Field Imaging Using Cylindrical MIMO Arrays
Multiple-input multiple-output (MIMO) array based millimeter-wave (MMW) imaging has a tangible prospect in applications of concealed weapons detection.
