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Found 7 papers, 3 papers with code
Self-guided Few-shot Semantic Segmentation for Remote Sensing Imagery Based on Large Vision Models
The Segment Anything Model (SAM) exhibits remarkable versatility and zero-shot learning abilities, owing largely to its extensive training data (SA-1B).
HeightFormer: A Multilevel Interaction and Image-adaptive Classification-regression Network for Monocular Height Estimation with Aerial Images
MIB supplements the fixed sample grid in CNN of the conventional backbone network with tokens of different interaction ranges.
IRGen: Generative Modeling for Image Retrieval
While generative modeling has been ubiquitous in natural language processing and computer vision, its application to image retrieval remains unexplored.
MVImgNet: A Large-scale Dataset of Multi-view Images
The birth of ImageNet drives a remarkable trend of "learning from large-scale data" in computer vision.
RMBR: A Regularized Minimum Bayes Risk Reranking Framework for Machine Translation
Recently, Minimum Bayes Risk (MBR) decoding has been proposed to improve the quality for NMT, which seeks for a consensus translation that is closest on average to other candidates from the n-best list.
Conditional Adversarial Camera Model Anonymization
Model anonymization is the process of transforming these artifacts such that the apparent capture model is changed.
Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning
We propose a new framework that utilizes the gradients to revise the sentence in a continuous space during inference to achieve text style transfer.
