Search Results for author:
Found 3 papers, 3 papers with code
MIMIC: Masked Image Modeling with Image Correspondences
We train multiple models with different masked image modeling objectives to showcase the following findings: Representations trained on our automatically generated MIMIC-3M outperform those learned from expensive crowdsourced datasets (ImageNet-1K) and those learned from synthetic environments (MULTIVIEW-HABITAT) on two dense geometric tasks: depth estimation on NYUv2 (1. 7%), and surface normals estimation on Taskonomy (2. 05%).
AdANNS: A Framework for Adaptive Semantic Search
Finally, we demonstrate that AdANNS can enable inference-time adaptivity for compute-aware search on ANNS indices built non-adaptively on matryoshka representations.
An Autoencoder Based Approach to Simulate Sports Games
Which team would end their season on a high and which teams would fail to keep up with the pressure?
Cannot find the paper you are looking for? You can
Submit a new open access paper.
