DiffusionVID: Denoising Object Boxes With Spatio–Temporal Conditioning for Video Object Detection
Si-Dong Roh,
Ki-Seok Chung
Abstract:Several existing still image object detectors suffer from image deterioration in videos, such as motion blur, camera defocus, and partial occlusion. We present DiffusionVID, a diffusion model-based video object detector, that exploits spatio-temporal conditioning. Inspired by the diffusion model, DiffusionVID refines random noise boxes to obtain the original object boxes in a video sequence. To effectively refine the box from the degraded images in the videos, we used three novel approaches: cascade refinement… Show more
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