Condescending
发表于 2025-3-23 10:13:33
,UDiffText: A Unified Framework for High-Quality Text Synthesis in Arbitrary Images via Character-Awl attention control under the supervision of character-level segmentation maps. Finally, by employing an inference stage refinement process, we achieve a notably high sequence accuracy when synthesizing text in arbitrarily given images. Both qualitative and quantitative results demonstrate the super
基因组
发表于 2025-3-23 17:26:43
,Confidence Self-calibration for Multi-label Class-Incremental Learning,tion of over-confident output distributions. Our approach attains new state-of-the-art results in MLCIL tasks on both MS-COCO and PASCAL VOC datasets, with the calibration of label confidences confirmed through our methodology. Our code is available at ..
溺爱
发表于 2025-3-23 18:47:46
,OMG: Occlusion-Friendly Personalized Multi-concept Generation in Diffusion Models, be combined with various single-concept models, such as LoRA and InstantID without additional tuning. Especially, LoRA models on . can be exploited directly. Extensive experiments demonstrate that OMG exhibits superior performance in multi-concept personalization.
臭了生气
发表于 2025-3-23 22:27:20
,Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning,avoid confusion with the previously learned knowledge and thereby accumulate the new knowledge more effectively. Moreover, we introduce an Incremental Classifier (IC) which expands its output nodes to address the overwriting issue from different domains corresponding to a single class while maintain
分离
发表于 2025-3-24 04:58:44
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flavonoids
发表于 2025-3-24 10:21:21
,An Incremental Unified Framework for Small Defect Inspection,ork adaptability for new objects. Additionally, we prioritize retaining the features of established objects during weight updates. Demonstrating prowess in both image and pixel-level defect inspection, our approach achieves state-of-the-art performance, supporting dynamic and scalable industrial ins
Aprope
发表于 2025-3-24 14:17:21
,Enhancing Optimization Robustness in 1-Bit Neural Networks Through Stochastic Sign Descent,ImageNet ILSVRC2012 by 0.96% with eightfold fewer training iterations. In the case of ReActNet, Diode not only matches but slightly exceeds previous benchmarks without resorting to complex multi-stage optimization strategies, effectively halving the training duration. Additionally, Diode proves its
小步走路
发表于 2025-3-24 15:06:44
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harbinger
发表于 2025-3-24 20:00:37
M. Takedal,G. Van Tendeloo,S. Amelinckxd local attention mechanism. Additionally, we design a novel barrier loss function based on Normalized Mutual Information to impose constraints on the registration network, which enhances the registration accuracy. The superior performance of INNReg is demonstrated through experiments on two public
collagenase
发表于 2025-3-25 02:19:36
Electron Microscopy of Ordering in Alloysa general FLRTF-based multi-dimensional data recovery model. Experimental results, including video frame interpolation/extrapolation, MSI band interpolation, and MSI spectral super-resolution tasks, substantiate that FLRTF has superior performance as compared with representative data recovery method