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Found 6 papers, 1 papers with code
Knowledge Graph Embedding by Adaptive Limit Scoring Loss Using Dynamic Weighting Strategy
The recently proposed Limit-based Scoring Loss independently limits the range of positive and negative triplet scores.
Learning Hierarchy-Aware Quaternion Knowledge Graph Embeddings with Representing Relations as 3D Rotations
It is crucial for knowledge graph embedding models to model and infer various relation patterns, such as symmetry/antisymmetry.
Improving Knowledge Graph Embedding Using Affine Transformations of Entities Corresponding to Each Relation
By using previous knowledge graph embedding methods, every entity in a knowledge graph is usually represented as a k-dimensional vector.
Audio-Visual Instance Segmentation
In this paper, we propose a new multi-modal task, namely audio-visual instance segmentation (AVIS), in which the goal is to identify, segment, and track individual sounding object instances in audible videos, simultaneously.
Transformer Based Line Segment Classifier With Image Context for Real-Time Vanishing Point Detection in Manhattan World
To achieve this goal, we propose a novel Transformer based Line segment Classifier (TLC) that can group line segments in images and estimate the corresponding vanishing points.
Camera Calibration From Periodic Motion of a Pedestrian
Camera calibration directly from image sequences of a pedestrian without using any calibration object is a really challenging task and should be well solved in computer vision, especially in visual surveillance.
