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Found 6 papers, 3 papers with code
Strong but Simple Baseline with Dual-Granularity Triplet Loss for Visible-Thermal Person Re-Identification
In this letter, we propose a conceptually simple and effective dual-granularity triplet loss for visible-thermal person re-identification (VT-ReID).
Ranked #2 on
Cross-Modal Person Re-Identification
on RegDB
Robust Unsupervised Small Area Change Detection from SAR Imagery Using Deep Learning
In this paper, a robust unsupervised approach is proposed for small area change detection from multi-temporal SAR images using deep learning.
Parameter Sharing Exploration and Hetero-Center based Triplet Loss for Visible-Thermal Person Re-Identification
By well splitting the ResNet50 model to construct the modality-specific feature extracting network and modality-sharing feature embedding network, we experimentally demonstrate the effect of parameters sharing of two-stream network for VT Re-ID.
Ranked #1 on
Cross-Modal Person Re-Identification
on RegDB
Cross-Modality Person Re-identification
Cross-Modal Person Re-Identification
A Robust Imbalanced SAR Image Change Detection Approach Based on Deep Difference Image and PCANet
Parallel FCM are utilized on these two mapped DDIs to obtain three types of pseudo-label pixels, namely, changed pixels, unchanged pixels, and intermediate pixels.
Classification Algorithm of Speech Data of Parkinsons Disease Based on Convolution Sparse Kernel Transfer Learning with Optimal Kernel and Parallel Sample Feature Selection
In this paper, a novel PD classification algorithm based on sparse kernel transfer learning combined with a parallel optimization of samples and features is proposed.
Two-Phase Object-Based Deep Learning for Multi-temporal SAR Image Change Detection
The prediction of this Phase is the set of changed and unchanged superpixels.
