DST-Det: Open-Vocabulary Object Detection via Dynamic Self-Training

S Xu, X Li, S Wu, W Zhang, Y Tong… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Open-vocabulary object detection (OVOD) aims to detect the objects beyond the set of
classes observed during training. This work introduces a straightforward and efficient …

For Overall Nighttime Visibility: Integrate Irregular Glow Removal with Glow-aware Enhancement

W Wu, W Wang, Z Wang, K Jiang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Current low-light image enhancement (LLIE) techniques truly enhance luminance but have
limited exploration on another harmful factor of nighttime visibility, the glow effects with …

Unsupervised Object Detection using Patch Based Image Classifier and Gradient Importance Map

V Jain, MS Pillai, A Jain, AK Dubey - International Journal of Information …, 2025 - Springer
Image classification in computer vision has seen tremendous amount of success in recent
years. Deep learning has played a pivotal role in achieving human level performance in …