Recent advances in object detection in the age of deep convolutional neural networks
Object detection-the computer vision task dealing with detecting instances of objects of a
certain class (eg,'car','plane', etc.) in images-attracted a lot of attention from the community …
certain class (eg,'car','plane', etc.) in images-attracted a lot of attention from the community …
Smart helmet-based proximity warning system to improve occupational safety on the road using image sensor and artificial intelligence
Y Kim, Y Choi - International journal of environmental research and …, 2022 - mdpi.com
Recently, collisions between equipment and workers occur frequently on the road in
construction and surface mining sites. To prevent such accidents, we developed a smart …
construction and surface mining sites. To prevent such accidents, we developed a smart …
A domain agnostic normalization layer for unsupervised adversarial domain adaptation
R Romijnders, P Meletis… - 2019 IEEE Winter …, 2019 - ieeexplore.ieee.org
We propose a normalization layer for unsupervised domain adaption in semantic scene
segmentation. Normalization layers are known to improve convergence and generalization …
segmentation. Normalization layers are known to improve convergence and generalization …
Trained Model Fusion for Object Detection Using Gating Network
T Inoshita, Y Nakatani, K Takahashi, A Ishii… - Pattern Recognition: 5th …, 2020 - Springer
The major approaches of transfer learning in computer vision have tried to adapt the source
domain to the target domain one-to-one. However, this scenario is difficult to apply to real …
domain to the target domain one-to-one. However, this scenario is difficult to apply to real …
Predictive Ensemble Learning with Application to Scene Text Detection
D Chen, XY Zhang, W Zhang, Y Lu, X Li… - arXiv preprint arXiv …, 2019 - arxiv.org
Deep learning based approaches have achieved significant progresses in different tasks
like classification, detection, segmentation, and so on. Ensemble learning is widely known to …
like classification, detection, segmentation, and so on. Ensemble learning is widely known to …