The phrase "a robust object" is correct and usable in written English.
It can be used in contexts where you want to describe an object that is strong, durable, or well-constructed.
Example: "The engineer designed a robust object that could withstand extreme weather conditions."
Alternatives: "a sturdy item" or "a durable object".
This paper introduces a novel topic model for learning a robust object model.
We present a robust object detection method to detect generic objects with incompact, complex and changeable shapes without training.
Experiments with real-world sonar images showed that local skewness is a robust object representation, even in the presence of strong variations of SNR between adjacent frames.
Every robust thing is of course robust up to a point (anvils melt above certain temperature), but in general we can say that almost nothing can harm a robust object.
In this paper, we present a robust object proposals re-ranking algorithm that effectivity re-ranks candidates generated from a customized class-independent 3DOP (3D Object Proposals) method using a two-stream convolutional neural network (CNN).
To effectively fill the semantic gap of visual data in visual tracking with little supervision, we propose a tracking method which constructs a robust object appearance model via learning and transferring mid-level image representations using a deep network, i.e., Network in Network (NIN).
This paper describes an intelligent system that attempts to perform robust object recognition in a realistic scenario, where a mobile robot moving through an environment must use the images collected from its camera directly to recognise objects.
This paper presents a new deep learning architecture for robust object representation, aiming at efficiently combining the proposed synchronized multi-stage feature (SMF) and a boosting-like algorithm.
The purpose of this model is to realize cognitive sharing of an object between two robots and robust object tracking simultaneously.
To address these challenges, we propose a robust visual object tracking method based on binocular vision in this paper.
As a fundamental and indispensable pre-step for high-level video analysis, e.g. behavior recognition for social security, accurate and robust object tracking can play an essential role because of its capability in extracting the salient information from the captured video dataset.
