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Found 5 papers, 3 papers with code
Dynamic and Compressive Adaptation of Transformers From Images to Videos
On Kinetics-400, InTI reaches a top-1 accuracy of 87. 1 with a remarkable 37. 5% reduction in GFLOPs compared to naive adaptation.
Omni-Recon: Harnessing Image-based Rendering for General-Purpose Neural Radiance Fields
Specifically, our Omni-Recon features a general-purpose NeRF model using image-based rendering with two decoupled branches: one complex transformer-based branch that progressively fuses geometry and appearance features for accurate geometry estimation, and one lightweight branch for predicting blending weights of source views.
Life after BERT: What do Other Muppets Understand about Language?
Existing pre-trained transformer analysis works usually focus only on one or two model families at a time, overlooking the variability of the architecture and pre-training objectives.
Roomsemble: Progressive web application for intuitive property search
A successful real estate search process involves locating a property that meets a user's search criteria subject to an allocated budget and time constraints.
Natural Adversarial Examples
We also curate an adversarial out-of-distribution detection dataset called ImageNet-O, which is the first out-of-distribution detection dataset created for ImageNet models.
Ranked #39 on
Domain Generalization
on ImageNet-A
