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Found 6 papers, 1 papers with code
LEMaRT: Label-Efficient Masked Region Transform for Image Harmonization
We present a simple yet effective self-supervised pre-training method for image harmonization which can leverage large-scale unannotated image datasets.
PADCLIP: Pseudo-labeling with Adaptive Debiasing in CLIP for Unsupervised Domain Adaptation
We then utilize CLIP's zero-shot prediction to formulate a Pseudo-labeling setting with Adaptive Debiasing in CLIP (PADCLIP) by adjusting causal inference with our momentum and CFM.
Ranked #3 on
Unsupervised Domain Adaptation
on DomainNet
Identity Enhanced Residual Image Denoising
We propose to learn a fully-convolutional network model that consists of a Chain of Identity Mapping Modules and residual on the residual architecture for image denoising.
Can 3D Pose be Learned from 2D Projections Alone?
We present a weakly supervised approach to estimate 3D pose points, given only 2D pose landmarks.
CRAFT: Complementary Recommendations Using Adversarial Feature Transformer
Such a conditional generative model can produce multiple novel samples of complementary items (in the feature space) for a given query item.
Class-Specific Image Deblurring
In image deblurring, a fundamental problem is that the blur kernel suppresses a number of spatial frequencies that are difficult to recover reliably.
