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Found 13 papers, 8 papers with code
AttResDU-Net: Medical Image Segmentation Using Attention-based Residual Double U-Net
Inspired by the Double U-Net, this architecture incorporates attention gates on the skip connections and residual connections in the convolutional blocks.
Interpretable Multi Labeled Bengali Toxic Comments Classification using Deep Learning
This paper presents a deep learning-based pipeline for categorizing Bengali toxic comments, in which at first a binary classification model is used to determine whether a comment is toxic or not, and then a multi-label classifier is employed to determine which toxicity type the comment belongs to.
Land Cover and Land Use Detection using Semi-Supervised Learning
Furthermore, accurately identifying remote sensing satellite images is more complicated than it is for conventional images.
Performance Analysis of YOLO-based Architectures for Vehicle Detection from Traffic Images in Bangladesh
The task of locating and classifying different types of vehicles has become a vital element in numerous applications of automation and intelligent systems ranging from traffic surveillance to vehicle identification and many more.
Huruf: An Application for Arabic Handwritten Character Recognition Using Deep Learning
Prominent work has been done in this field focusing mainly on Latin characters.
Multiple Object Tracking in Recent Times: A Literature Review
To take these scattered techniques under an umbrella, we have studied more than a hundred papers published over the last three years and have tried to extract the techniques that are more focused on by researchers in recent times to solve the problems of MOT.
Two Decades of Bengali Handwritten Digit Recognition: A Survey
This paper will also serve as a compendium for researchers interested in the science behind offline BHDR, instigating the exploration of newer avenues of relevant research that may further lead to better offline recognition of Bengali handwritten digits in different application areas.
Handwritten Digit Recognition
Optical Character Recognition
+1
HEATGait: Hop-Extracted Adjacency Technique in Graph Convolution based Gait Recognition
Biometric authentication using gait has become a promising field due to its unobtrusive nature.
Less is More: Lighter and Faster Deep Neural Architecture for Tomato Leaf Disease Classification
Evaluation on tomato leaf images from the PlantVillage dataset shows that the proposed architecture achieves 99. 30% accuracy with a model size of 9. 60MB and 4. 87M floating-point operations, making it a suitable choice for real-life applications in low-end devices.
CSVC-Net: Code-Switched Voice Command Classification using Deep CNN-LSTM Network
The proposed pipeline passes the input audio signal through a series of appropriate transformation and augmentation steps enabling the model to achieve an accuracy of 92. 08% on the curated dataset.
Ranked #1 on
Voice Query Recognition
on Banglish
Improving Action Quality Assessment using Weighted Aggregation
We assess the effects of the depth and input clip size of the convolutional neural network on the quality of action score predictions.
Ranked #6 on
Action Quality Assessment
on MTL-AQA
Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTM
Evaluation of the proposed methods was done on three standard public datasets.
Ranked #4 on
Activity Recognition
on RWF-2000
Human Computer Interaction Using Marker Based Hand Gesture Recognition
Human Computer Interaction (HCI) has been redefined in this era.
