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Found 4 papers, 2 papers with code
DiffRef3D: A Diffusion-based Proposal Refinement Framework for 3D Object Detection
During training, DiffRef3D gradually adds noise to the residuals between proposals and target objects, then applies the noisy residuals to proposals to generate hypotheses.
PG-RCNN: Semantic Surface Point Generation for 3D Object Detection
Motivated by this, we propose Point Generation R-CNN (PG-RCNN), a novel end-to-end detector that generates semantic surface points of foreground objects for accurate detection.
Explore-And-Match: Bridging Proposal-Based and Proposal-Free With Transformer for Sentence Grounding in Videos
To our surprise, we found that training schedule shows divide-and-conquer-like pattern: time segments are first diversified regardless of the target, then coupled with each target, and fine-tuned to the target again.
Improving Few-shot Learning with Weakly-supervised Object Localization
In this work, we propose a novel framework that generates class representations by extracting features from class-relevant regions of the images.
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