Search Results for author:
Found 2 papers, 2 papers with code
Universal Noise Annotation: Unveiling the Impact of Noisy annotation on Object Detection
For object detection task with noisy labels, it is important to consider not only categorization noise, as in image classification, but also localization noise, missing annotations, and bogus bounding boxes.
L-Verse: Bidirectional Generation Between Image and Text
Unlike other models, BiART can distinguish between image (or text) as a conditional reference and a generation target.
Ranked #1 on
Image Reconstruction
on ImageNet 256x256
Cannot find the paper you are looking for? You can
Submit a new open access paper.
