Search Results for author:
Found 8 papers, 6 papers with code
ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer
Generating robust and reliable correspondences across images is a fundamental task for a diversity of applications.
ScaleNet: A Shallow Architecture for Scale Estimation
We formulate the scale estimation problem as a prediction of a probability distribution over scale factors.
Grasp-Oriented Fine-grained Cloth Segmentation without Real Supervision
We show that training our network solely with synthetic data and the proposed DA yields results competitive with models trained on real data.
HyNet: Learning Local Descriptor with Hybrid Similarity Measure and Triplet Loss
Recent works show that local descriptor learning benefits from the use of L2 normalisation, however, an in-depth analysis of this effect lacks in the literature.
D2D: Keypoint Extraction with Describe to Detect Approach
In this paper, we present a novel approach that exploits the information within the descriptor space to propose keypoint locations.
SOLAR: Second-Order Loss and Attention for Image Retrieval
One is focused on second-order spatial information to increase the performance of image descriptors, both local and global.
SOSNet: Second Order Similarity Regularization for Local Descriptor Learning
Despite the fact that Second Order Similarity (SOS) has been used with significant success in tasks such as graph matching and clustering, it has not been exploited for learning local descriptors.
L2-Net: Deep Learning of Discriminative Patch Descriptor in Euclidean Space
In this paper, we propose to learn high per- formance descriptor in Euclidean space via the Convolu- tional Neural Network (CNN).
