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Section 4 presents the results of our morphological evaluation based on mosaicR-band sharp filtered images, (B−I) color index maps, co-addedJ+H+K images extracted from the 2MASS archives, RGB images from SDSS database and ellipticity, position angle profiles from a surface photometry analysis and, in some cases, theA 4and B
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2: Overview of our proposed framework, which consists of three main components First, the input image or video is partitioned into unified local sub-images without interpolation, preserving fine-grained spatial details Second,
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I INTRODUCTION Breast cancer is the leading cause of cancer death in over 100 countries [1], [2] Mammography is the only image screening tool that has been proven to reduce breast cancer mortality [3] Digital mammography (DM or 2D mammogra-phy) and digital breast tomosynthesis (DBT or 3D mammog-raphy) are the two types of mammograms that are used in clinical practice [4] Radiologists
- Towards Prospective Medical Image Reconstruction via . . .
Abstract Medical image reconstruction from measurement data is a vital but challenging inverse problem Deep learning approaches have achieved promising results, but often requires paired measurement and high-quality images, which is typically simulated through a forward model, i e , retrospective reconstruction However, training on simulated pairs commonly leads to performance degradation on
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AN I WORTH 1000 LIES: ADVERSARIAL TRANSFERABILITY ACROSS PROMPTS ON VISION M AN IMAGE IS WORTH 1000 LIES: ADVERSARIAL TRANSFERABILITY ACROSS PROMPTS ON VISION-LANGUAGE MODELS
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The image Jacobian concerns the camera velocity with the target velocity in the image plane Additionally, the target velocity in 3D workspace is also converted into the velocity in the image plane The converted velocity compensates the camera veloc-ity to compensate the camera motion delay
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When the image anchor of a real object is masked, the model fails to recognize the object Inspired by this, we apply a zero-out operation to the top-K image tokens with the highest attention scores for hallucinated objects, replacing them with zero embed-dings Surprisingly, these hallucinated objects disappear from the new response
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