6 papers
Quality-Driven and Diversity-Aware Sample Expansion for Robust Marine Obstacle Segmentation
Miaohua Zhang, Mohammad Ali Armin, Xuesong Li +5
Marine obstacle detection demands robust segmentation under challenging conditions, such as sun glitter, fog, and rapidly changing wave patterns. These factors degrade image qualit…
MoKD: Multi-Task Optimization for Knowledge Distillation
Zeeshan Hayder, Ali Cheraghian, Lars Petersson +1
Compact models can be effectively trained through Knowledge Distillation (KD), a technique that transfers knowledge from larger, high-performing teacher models. Two key challenges…
EMUSE: Evolutionary Map of the Universe Search Engine
Nikhel Gupta, Zeeshan Hayder, Minh Huynh +6
We present EMUSE (Evolutionary Map of the Universe Search Engine), a tool designed for searching specific radio sources within the extensive datasets of the EMU (Evolutionary Map o…
Discovery of Odd Radio Circles and Other Peculiars in the First Year of the EMU Survey using Object Detection
Nikhel Gupta, Ray P. Norris, Zeeshan Hayder +9
We present a systematic search for Odd Radio Circles (ORCs) and other unusual radio morphologies using data from the first year of the EMU (Evolutionary Map of the Universe) survey…
A Review on Coarse to Fine-Grained Animal Action Recognition
Ali Zia, Renuka Sharma, Abdelwahed Khamis +8
This review provides an in-depth exploration of the field of animal action recognition, focusing on coarse-grained (CG) and fine-grained (FG) techniques. The primary aim is to exam…
NeFF-BioNet: Crop Biomass Prediction from Point Cloud to Drone Imagery
Xuesong Li, Zeeshan Hayder, Ali Zia +7
Crop biomass offers crucial insights into plant health and yield, making it essential for crop science, farming systems, and agricultural research. However, current measurement met…