5 citations · 5 across the 2 of their papers we have counts for
5 papers
Knowledge Consultation for Semi-Supervised Semantic Segmentation
Thuan Than, Nhat-Anh Nguyen-Dang, Dung Nguyen +7
Semi-Supervised Semantic Segmentation reduces reliance on extensive annotations by using unlabeled data and state-of-the-art models to improve overall performance. Despite the succ…
Leaf Recognition Using Convolutional Neural Networks Based Features
Boi M. Quach, Dinh V. Cuong, Nhung Pham +2
There is a warning light for the loss of plant habitats worldwide that entails concerted efforts to conserve plant biodiversity. Thus, plant species classification is of crucial im…
Binarizing MobileNet via Evolution-based Searching
Hai Phan, Zechun Liu, Dang Huynh +3
Binary Neural Networks (BNNs), known to be one among the effectively compact network architectures, have achieved great outcomes in the visual tasks. Designing efficient binary arc…
MoBiNet: A Mobile Binary Network for Image Classification
Hai Phan, Dang Huynh, Yihui He +2
MobileNet and Binary Neural Networks are two among the most widely used techniques to construct deep learning models for performing a variety of tasks on mobile and embedded platfo…
Large-Scale Video Classification with Feature Space Augmentation coupled with Learned Label Relations and Ensembling
Choongyeun Cho, Benjamin Antin, Sanchit Arora +7
This paper presents the Axon AI's solution to the 2nd YouTube-8M Video Understanding Challenge, achieving the final global average precision (GAP) of 88.733% on the private test se…