Abstract: Despite the remarkable success of remote sensing object detection, these methods primarily operate under a closed-world paradigm, as they often misclassify or ignore novel objects in ...
Abstract: Reliable road object detection is crucial for self-driving cars and intelligent transportation systems. However, vision-only techniques fail in low-visibility conditions such as fog, rain, ...
S3OD is a large-scale fully synthetic dataset for salient object detection and background removal, with 140K high-quality images generated using diffusion models. Our model, trained on large-scale ...
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