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08/10/2023
Aphid Cluster Recognition and Detection in the Wild Using Deep Learning Models
Aphid infestation poses a significant threat to crop production, rural c...
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07/17/2023
On the Real-Time Semantic Segmentation of Aphid Clusters in the Wild
Aphid infestations can cause extensive damage to wheat and sorghum field...
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07/12/2023
A New Dataset and Comparative Study for Aphid Cluster Detection
Aphids are one of the main threats to crops, rural families, and global ...
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10/22/2022
Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets
Vision Transformers has demonstrated competitive performance on computer...
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03/29/2022
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients
Deep neural networks for 3D point cloud classification, such as PointNet...
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02/01/2022
Dilated Continuous Random Field for Semantic Segmentation
Mean field approximation methodology has laid the foundation of modern C...
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04/26/2021
SGNet: A Super-class Guided Network for Image Classification and Object Detection
Most classification models treat different object classes in parallel an...
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04/22/2021
Colonoscopy Polyp Detection and Classification: Dataset Creation and Comparative Evaluations
Colorectal cancer (CRC) is one of the most common types of cancer with a...
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10/15/2020
Why Layer-Wise Learning is Hard to Scale-up and a Possible Solution via Accelerated Downsampling
Layer-wise learning, as an alternative to global back-propagation, is ea...
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07/13/2020
Location-Aware Box Reasoning for Anchor-Based Single-Shot Object Detection
In the majority of object detection frameworks, the confidence of instan...
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07/12/2020
A Comparative Study on Polyp Classification using Convolutional Neural Networks
Colorectal cancer is the third most common cancer diagnosed in both men ...
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12/04/2019