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DST-Det: Open-Vocabulary Object Detection via Dynamic Self-Training
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 …
classes observed during training. This work introduces a straightforward and efficient …
For Overall Nighttime Visibility: Integrate Irregular Glow Removal with Glow-aware Enhancement
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 …
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
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 …
years. Deep learning has played a pivotal role in achieving human level performance in …