1 citations · 1 across the 4 of their papers we have counts for
4 papers
FID-Net: A Feature-Enhanced Deep Learning Network for Forest Infestation Detection
Yan Zhang, Baoxin Li, Han Sun +3
Forest pests threaten ecosystem stability, requiring efficient monitoring. To overcome the limitations of traditional methods in large-scale, fine-grained detection, this study foc…
Context-Aware Token Selection and Packing for Enhanced Vision Transformer
Tianyi Zhang, Baoxin Li, Jae-sun Seo +1
In recent years, the long-range attention mechanism of vision transformers has driven significant performance breakthroughs across various computer vision tasks. However, the tradi…
Transformer-based Selective Super-Resolution for Efficient Image Refinement
Tianyi Zhang, Kishore Kasichainula, Yaoxin Zhuo +3
Conventional super-resolution methods suffer from two drawbacks: substantial computational cost in upscaling an entire large image, and the introduction of extraneous or potentiall…
Patch-based Selection and Refinement for Early Object Detection
Tianyi Zhang, Kishore Kasichainula, Yaoxin Zhuo +3
Early object detection (OD) is a crucial task for the safety of many dynamic systems. Current OD algorithms have limited success for small objects at a long distance. To improve th…