5 citations · 6 across the 5 of their papers we have counts for
7 papers · 1 filter
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…
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…
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…
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…
MMCBE: Multi-modality Dataset for Crop Biomass Prediction and Beyond
Xuesong Li, Zeeshan Hayder, Ali Zia +7
Crop biomass, a critical indicator of plant growth, health, and productivity, is invaluable for crop breeding programs and agronomic research. However, the accurate and scalable qu…
A Multimodal Dataset and Benchmark for Radio Galaxy and Infrared Host Detection
Nikhel Gupta, Zeeshan Hayder, Ray P. Norris +2
We present a novel multimodal dataset developed by expert astronomers to automate the detection and localisation of multi-component extended radio galaxies and their corresponding…