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Found 6 papers, 3 papers with code
Few-shot Shape Recognition by Learning Deep Shape-aware Features
Thirdly, we propose a decoding module to include the supervision of shape masks and edges and align the original and reconstructed shape features, enforcing the learned features to be more shape-aware.
From Saliency to DINO: Saliency-guided Vision Transformer for Few-shot Keypoint Detection
Unlike current deep keypoint detectors that are trained to recognize limited number of body parts, few-shot keypoint detection (FSKD) attempts to localize any keypoints, including novel or base keypoints, depending on the reference samples.
Phase Turbulence Prediction Method for Line-of-Sight Multiple-Input–Multiple-Output Links Caused by Atmospheric Environment
In the method, the tropospheric refractivity profile was predicted using a mesoscale NWP model, and then MIMO phase was predicted by the parabolic equation model.
Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species
Current non-rigid object keypoint detectors perform well on a chosen kind of species and body parts, and require a large amount of labelled keypoints for training.
Industrial Scene Text Detection with Refined Feature-attentive Network
Then, an attentive refinement network is developed by the attention map to rectify the location deviation of candidate boxes.
Arc-support Line Segments Revisited: An Efficient and High-quality Ellipse Detection
Over the years many ellipse detection algorithms spring up and are studied broadly, while the critical issue of detecting ellipses accurately and efficiently in real-world images remains a challenge.
