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Found 3 papers, 1 papers with code
Mask Grounding for Referring Image Segmentation
To tackle this challenge, we introduce a novel Mask Grounding auxiliary task that significantly improves visual grounding within language features, by explicitly teaching the model to learn fine-grained correspondence between masked textual tokens and their matching visual objects.
Ranked #2 on
Referring Expression Segmentation
on RefCOCO testB
Joint Representation Learning for Text and 3D Point Cloud
During the pre-training stage, we establish the correspondence of images and point clouds based on the readily available RGB-D data and use contrastive learning to align the image and point cloud representations.
Robotic Dough Shaping
The ability to deform soft objects remains a great challenge for robots due to difficulties in defining the problem mathematically.
