What are the main points of this paper?
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The main points of the papers are as follows: 1. The first paper by Ul Haq et al. focuses on automatically generating test data for Key-Points detection DNNs (KP-DNNs) using many-objective search. They show that their approach can generate test suites that severely mispredict more than 93% of all key-points, which can be used for risk analysis or DNN retraining . 2. The second paper by Yuriy discusses the basic structure and development problems of MEMS (microelectromechanical systems), as well as the design of commonly used MEMS parts and popular applications . 3. The third paper by Mallick and Banerjee presents an elaborative treatment of two shared set problems on the open complex plane, along with examples to demonstrate the sharpness of the results . 4. The fourth paper by Ardakani and Tehrani introduces the concept of asymptotic farthest points in abstract approximation theory and investigates its relation to extreme points and convexity in normed spaces . 5. The fifth paper by Ul Haq et al. (different authors from the first paper) also focuses on automatically generating test data for KP-DNNs using many-objective search, specifically for facial key-points detection DNNs in an industrial automotive application. They demonstrate the ability to generate test suites that severely mispredict more than 93% of all key-points, and investigate conditions that lead to these mispredictions .
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| Papers (5) | Insight |
|---|---|
| The paper presents an approach to automatically generate test data for key-points detection DNNs using many-objective search. | |
| The main points of this paper are the introduction and discussion of the concept of asymptotic farthest points, and the investigation of its relation to extreme points and convexity. | |
01 Apr 2021 1 Citations | The main points of this paper are the representation of two shared set problems and the investigation of these problems from a different perspective. |
21 May 2008 | The main points of this paper are the basic structure of MEMS, development problems, design of MEMS parts, and popular applications. |
11 Jul 2021 | The main points of this paper are the challenges in testing key-points detection DNNs and the use of many-objective search to generate test data for these DNNs. |
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