Search Results for author:
Found 7 papers, 5 papers with code
Parallax-Tolerant Image Stitching with Epipolar Displacement Field
Large parallax image stitching is a challenging task.
Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-end Oriented Object Detection with Single Point Supervision
To our best knowledge, Point2RBox is the first end-to-end solution for point-supervised OOD.
MLP-AMDC: An MLP Architecture for Adaptive-Mask-based Dual-Camera snapshot hyperspectral imaging
In order to improve the inference speed of the reconstruction network, this paper proposes An MLP Architecture for Adaptive-Mask-based Dual-Camera (MLP-AMDC) to replace the transformer structure of the network.
DMDC: Dynamic-mask-based dual camera design for snapshot Hyperspectral Imaging
First, the system learns the spatial feature distribution of the scene based on the RGB images, then instructs the SLM to encode each scene, and finally sends both RGB and CASSI images to the network for reconstruction.
SST-ReversibleNet: Reversible-prior-based Spectral-Spatial Transformer for Efficient Hyperspectral Image Reconstruction
The reconstruction subnet in the network then learns the mapping of the residuals to the true values to improve reconstruction accuracy.
Phase-Shifting Coder: Predicting Accurate Orientation in Oriented Object Detection
With the vigorous development of computer vision, oriented object detection has gradually been featured.
Few-Data Guided Learning Upon End-to-End Point Cloud Network for 3D Face Recognition
Without fine-tuning on the test set, the Rank-1 Recognition Rate (RR1) is achieved as follows: 98. 85% on FRGC v2. 0 dataset and 99. 33% on Bosphorus dataset, which proves the effectiveness and the potentiality of our method.
