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Found 12 papers, 4 papers with code
An Image Enhancement Method for Improving Small Intestinal Villi Clarity
Subsequently, an adaptive light gain factor is generated based on the low-frequency component, and an adaptive gradient gain factor is derived from the convolution results of the Laplacian operator in different regions of small intestinal villi images.
An Error-Matching Exclusion Method for Accelerating Visual SLAM
In Visual SLAM, achieving accurate feature matching consumes a significant amount of time, severely impacting the real-time performance of the system.
A Feature Matching Method Based on Multi-Level Refinement Strategy
Feature matching is a fundamental and crucial process in visual SLAM, and precision has always been a challenging issue in feature matching.
A Robust Error-Resistant View Selection Method for 3D Reconstruction
To address the issue of increased triangulation uncertainty caused by selecting views with small camera baselines in Structure from Motion (SFM) view selection, this paper proposes a robust error-resistant view selection method.
Region Feature Descriptor Adapted to High Affine Transformations
To address the issue of feature descriptors being ineffective in representing grayscale feature information when images undergo high affine transformations, leading to a rapid decline in feature matching accuracy, this paper proposes a region feature descriptor based on simulating affine transformations using classification.
A Highlight Removal Method for Capsule Endoscopy Images
The images captured by Wireless Capsule Endoscopy (WCE) always exhibit specular reflections, and removing highlights while preserving the color and texture in the region remains a challenge.
Spatial-Temporal Decoupling Contrastive Learning for Skeleton-based Human Action Recognition
Furthermore, to explicitly exploit the latent data distributions, we employ the attentive features to contrastive learning, which models the cross-sequence semantic relations by pulling together the features from the positive pairs and pushing away the negative pairs.
SiT-MLP: A Simple MLP with Point-wise Topology Feature Learning for Skeleton-based Action Recognition
Graph convolution networks (GCNs) have achieved remarkable performance in skeleton-based action recognition.
An Improved Baseline Framework for Pose Estimation Challenge at ECCV 2022 Visual Perception for Navigation in Human Environments Workshop
This technical report describes our first-place solution to the pose estimation challenge at ECCV 2022 Visual Perception for Navigation in Human Environments Workshop.
Kinematics Modeling Network for Video-based Human Pose Estimation
In this work, we propose a plug-and-play kinematics modeling module (KMM) to explicitly model temporal correlations between joints across different frames by calculating their temporal similarity.
Relation-Based Associative Joint Location for Human Pose Estimation in Videos
Moreover, the JRE can infer invisible joints according to the relationship between joints, which is beneficial for the model to locate occluded joints.
PanGu-$α$: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation
To enhance the generalization ability of PanGu-$\alpha$, we collect 1. 1TB high-quality Chinese data from a wide range of domains to pretrain the model.
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