Search Results for author:
Found 5 papers, 3 papers with code
Pyramidal Attention for Saliency Detection
Consequently, we present a new SOD perspective of generating RGB-D SOD without acquiring depth data during training and testing and assist RGB methods with depth clues for improved performance.
Densely Deformable Efficient Salient Object Detection Network
In this paper, inspired by the best background/foreground separation abilities of deformable convolutions, we employ them in our Densely Deformable Network (DDNet) to achieve efficient SOD.
Ranked #4 on
RGB-D Salient Object Detection
on SIP
(Average MAE metric, using extra
training data)
Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features
In this paper, we propose a novel action recognition method by processing the video data using convolutional neural network (CNN) and deep bidirectional LSTM (DB-LSTM) network.
Divide-and-Conquer based Ensemble to Spot Emotions in Speech using MFCC and Random Forest
Firstly, emotions are detected in the input speech signal by classifying it as neutral or emotional.
Describing Colors, Textures and Shapes for Content Based Image Retrieval - A Survey
In this paper we will present a detailed overview of some of the powerful color, texture and shape descriptors for content based image retrieval.
