1 citations · 2 across the 3 of their papers we have counts for
3 papers
TinyFormer: Preserving Tiny Objects in YOLO-DETR Hybrid Real-time Detectors
Jun-Wei Hsieh, Meng-Yu Kao, Ghufron Wahyu Kurniawan +1
YOLO-series and DETR-based detectors struggle with tiny-object detection. YOLO-style models benefit from efficient dense prediction, but their large-stride backbones may suppress t…
Fast-COS: A Fast One-Stage Object Detector Based on Reparameterized Attention Vision Transformer for Autonomous Driving
Novendra Setyawan, Ghufron Wahyu Kurniawan, Chi-Chia Sun +2
The perception system is a a critical role of an autonomous driving system for ensuring safety. The driving scene perception system fundamentally represents an object detection tas…
ParFormer: A Vision Transformer with Parallel Mixer and Sparse Channel Attention Patch Embedding
Novendra Setyawan, Ghufron Wahyu Kurniawan, Chi-Chia Sun +3
Convolutional Neural Networks (CNNs) and Transformers have achieved remarkable success in computer vision tasks. However, their deep architectures often lead to high computational…