Invariant Features-Based Fuzzy Inference System for Animal Detection and Recognition Using Thermal Images
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-020-00907-9
Abstract: Human–Animal Conflict (HAC) is one of the primary threats to the continued survival of animal species and it has also impacted the lives of humans drastically. In this paper, we propose an efficient animal detection… read more here.
Keywords: thermal images; detection recognition; system; using thermal ... See more keywords
Invariant object recognition is a personalized selection of invariant features in humans, not simply explained by hierarchical feed-forward vision models
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-13756-8
Abstract: One key ability of human brain is invariant object recognition, which refers to rapid and accurate recognition of objects in the presence of variations such as size, rotation and position. Despite decades of research into… read more here.
Keywords: object recognition; recognition; feed forward; invariant features ... See more keywords
PUGTIFs: Passively User-Generated Thermal Invariant Features
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2933946
Abstract: Feature detection is a vital aspect of computer vision applications, but adverse environments, distance and illumination can affect the quality and repeatability of features or even prevent their identification. Invariance to these constraints would make… read more here.
Keywords: thermal invariant; generated thermal; invariant features; features pugtifs ... See more keywords
Exploring Implicit Domain-Invariant Features for Domain Adaptive Object Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3216611
Abstract: Recent researches have made a great progress in domain adaptive object detectors. These detectors aim to learn explicit domain-invariant features by adversarially mitigating domain divergence and simultaneously optimizing source risks. However, an inherent problem is… read more here.
Keywords: domain adaptive; domain; implicit domain; domain invariant ... See more keywords
Deeply Learned View-Invariant Features for Cross-View Action Recognition
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2017.2696786
Abstract: Classifying human actions from varied views is challenging due to huge data variations in different views. The key to this problem is to learn discriminative view-invariant features robust to view variations. In this paper, we… read more here.
Keywords: shared features; view; robust view; view invariant ... See more keywords
Wafer Map Defect Pattern Recognition Using Rotation-Invariant Features
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Semiconductor Manufacturing"
DOI: 10.1109/tsm.2019.2944181
Abstract: In semiconductor manufacturing, the patterns on the wafer map provide important information for engineers to identify the root causes of production problems. The detection and recognition of wafer map patterns is thus an important issue… read more here.
Keywords: invariant features; wafer map; rotation invariant; map defect ... See more keywords
A Novel Stacked Auto Encoders Sparse Filter Rotating Component Comprehensive Diagnosis Network for Extracting Domain Invariant Features
Sign Up to like & getrecommendations! Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10176084
Abstract: In recent years, the method of deep learning has been widely used in the field of fault diagnosis of mechanical equipment due to its strong feature extraction and other advantages such as high efficiency, portability,… read more here.
Keywords: domain invariant; network; diagnosis; novel stacked ... See more keywords