The advantage of this method is that it does not require any pre-processing of the video stream (e.g., background subtraction, edge detection, human silhouettes, and so on). This makes the proposed method robust to partial occlusion caused by, among others, carrying items or hair/clothes/...
(labels are still needed for testing purposes). In order to support both supervised and unsupervised training schemes, the ImageNet dataset is annotated by adding a tight bounding box around the object of interest during training and testing processes so that the noise in the background of the ...
voice recognition accuracy has significantly improved over the years, thanks to advancements in machine learning and ai algorithms. however, the accuracy can still vary depending on several factors such as background noise, accent, pronunciation, and the quality of the microphone being used. generally...
Open set domain adaptation by backpropagation, Kuniaki Saito, Shohei Yamamoto, Yoshitaka Ushiku, Tatsuya Harada. (ECCV 2018). 2017 2022 2021 2020 2019 2018 2017 Open-World Visual Recognition Using Knowledge Graphs, Lonij V, Rawat A, Nicolae M I. (arXiv, 2017). ...
(STI) is applied to each channel of the NAP to stabilize any repeating pattern and convert it into a simulation of our auditory image of the sound. Thus, sequences of auditory images can be used to illustrate the dynamic response of the auditory image to everyday sounds. A recent work in...
Facial recognition is an artificial intelligence-based technology that, like many other forms of artificial intelligence, suffers from an accuracy deficit.
The recorded Robin songs are naturally corrupted by different kinds of background noises, such as wind, water and other vocal bird species. Non-target songs may overlap with target songs. Each song usually consists of 2-10 syllables. The timing boundaries and noise conditions of the syllables ...
To the best of our knowledge, this is the first example of the integration of proprioceptive sensory feedback with three types of artificial mechanoreceptors using a soft biomimetic fingertip for recognition of naturalistic texture independent of the scanning speed. Background Human beings perceive ...
1, sign language recognition, which can be divided in three main categories of hand gesture recognition, facial recognition, and combined recognition methodologies, can be approached through four primary angles: background, gesture, special hardware utilization, and continuity. Different combinations of ...
of the pretrained network. After that, the learned representations are fed into simple classifiers to solve the task at hand. This approach, known as off-the-shelf feature extraction, has been used by researchers to achieve promising results (Weiss et al., 2016;Day and Khoshgoftaar, 2017)....