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Found 3 papers, 1 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.
AE-NeRF: Auto-Encoding Neural Radiance Fields for 3D-Aware Object Manipulation
We propose a novel framework for 3D-aware object manipulation, called Auto-Encoding Neural Radiance Fields (AE-NeRF).
Joint Learning of Feature Extraction and Cost Aggregation for Semantic Correspondence
In this paper, we propose a novel framework for jointly learning feature extraction and cost aggregation for semantic correspondence.
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