1 code implementation • 6 Jul 2023 • Jishnu Jaykumar P, Kamalesh Palanisamy, Yu-Wei Chao, Xinya Du, Yu Xiang
The two encoders are used to compute prototypes of image classes for classification.
1 code implementation • 7 Feb 2023 • Yangxiao Lu, Ninad Khargonkar, Zesheng Xu, Charles Averill, Kamalesh Palanisamy, Kaiyu Hang, Yunhui Guo, Nicholas Ruozzi, Yu Xiang
By applying multi-object tracking and video object segmentation on the images collected via robot pushing, our system can generate segmentation masks of all the objects in these images in a self-supervised way.
1 code implementation • 9 Nov 2020 • Kamalesh Palanisamy, Vivek Khimani, Moin Hussain Moti, Dimitris Chatzopoulos
In this work, we highlight the theoretical and technical challenges that need to be resolved to develop a functional framework that trains ML models in mobile devices without transferring raw data to a server.
3 code implementations • 22 Jul 2020 • Kamalesh Palanisamy, Dipika Singhania, Angela Yao
Besides, we show that even though we use the pretrained model weights for initialization, there is variance in performance in various output runs of the same model.
Environmental Sound Classification General Classification +2