UIPress is the first encoder-side learned optical compression method for UI-to-Code that compresses visual tokens to 256, outperforming the uncompressed baseline by 7.5% CLIP score and the best inference-time baseline by 4.6% while delivering 9.1x TTFT speedup.
Mmclip: Cross-modal attention masked modelling for medical language-image pre-training
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SegTTA improves MedSAM2 zero-shot segmentation on uterus and liver datasets by test-time augmentations plus weighted voting, delivering +1.6 mIoU and -2.0 HD95 on multiclass hepatic vessels.
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UIPress: Bringing Optical Token Compression to UI-to-Code Generation
UIPress is the first encoder-side learned optical compression method for UI-to-Code that compresses visual tokens to 256, outperforming the uncompressed baseline by 7.5% CLIP score and the best inference-time baseline by 4.6% while delivering 9.1x TTFT speedup.
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SegTTA: Training-Free Test-Time Augmentation for Zero-Shot Medical Imaging Segmentation
SegTTA improves MedSAM2 zero-shot segmentation on uterus and liver datasets by test-time augmentations plus weighted voting, delivering +1.6 mIoU and -2.0 HD95 on multiclass hepatic vessels.