3 papers
cs.CV2026
DetRefiner: Model-Agnostic Detection Refinement with Feature Fusion Transformer
Soichiro Okazaki, Tatsuya Sasaki, Hiroki Ohashi
Open-vocabulary object detection (OVOD) aims to detect both seen and unseen categories, yet existing methods often struggle to generalize to novel objects due to limited integratio…
cs.CV2025
Visually Similar Pair Alignment for Robust Cross-Domain Object Detection
Onkar Krishna, Hiroki Ohashi
Domain gaps between training data (source) and real-world environments (target) often degrade the performance of object detection models. Most existing methods aim to bridge this g…
cs.LG2025
Data Cleansing for GANs
Naoyuki Terashita, Hiroki Ohashi, Satoshi Hara
As the application of generative adversarial networks (GANs) expands, it becomes increasingly critical to develop a unified approach that improves performance across various genera…