Search Results for author:
Found 7 papers, 5 papers with code
Image Segmentation Keras : Implementation of Segnet, FCN, UNet, PSPNet and other models in Keras
Semantic segmentation plays a vital role in computer vision tasks, enabling precise pixel-level understanding of images.
SBEVNet: End-to-End Deep Stereo Layout Estimation
Instead, the learning of a good internal bird's eye view feature representation is effective for layout estimation.
Unsupervised Clustering using Pseudo-semi-supervised Learning
In this paper, we propose a framework that leverages semi-supervised models to improve unsupervised clustering performance.
Making Third Person Techniques Recognize First-Person Actions in Egocentric Videos
Unlike third person domain, researchers have divided first-person actions into two categories: involving hand-object interactions and the ones without, and developed separate techniques for the two action categories.
Multi-task Learning for Target-dependent Sentiment Classification
The auxiliary and main GRUs send their states to a different fully connected layer, trained for the main task.
GIRNet: Interleaved Multi-Task Recurrent State Sequence Models
A primary instance is also submitted to each auxiliary RNN, but their state sequences are gated and merged into a novel composite state sequence tailored to the primary inference task.
PicHunt: Social Media Image Retrieval for Improved Law Enforcement
This results in the need for first responders to inspect the spread of such images and users propagating them on social media.
