Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Haurilet, Monica"'
Beyond assigning the correct class, an activity recognition model should also be able to determine, how certain it is in its predictions. We present the first study of how welthe confidence values of modern action recognition architectures indeed ref
Externí odkaz:
http://arxiv.org/abs/2101.00468
Autor:
Ruede, Robin, Heusser, Verena, Frank, Lukas, Roitberg, Alina, Haurilet, Monica, Stiefelhagen, Rainer
A rapidly growing amount of content posted online, such as food recipes, opens doors to new exciting applications at the intersection of vision and language. In this work, we aim to estimate the calorie amount of a meal directly from an image by lear
Externí odkaz:
http://arxiv.org/abs/2011.01082
In this work, we present Detective - an attentive object detector that identifies objects in images in a sequential manner. Our network is based on an encoder-decoder architecture, where the encoder is a convolutional neural network, and the decoder
Externí odkaz:
http://arxiv.org/abs/2004.12197
The Earth Mover's Distance (EMD) computes the optimal cost of transforming one distribution into another, given a known transport metric between them. In deep learning, the EMD loss allows us to embed information during training about the output spac
Externí odkaz:
http://arxiv.org/abs/1611.07573
Publikováno v:
2016 IEEE Winter Conference on Applications of Computer Vision (WACV); 2016, p1-9, 9p
