Diffusiondet: Diffusion model for object detection
We propose DiffusionDet, a new framework that formulates object detection as a denoising
diffusion process from noisy boxes to object boxes. During the training stage, object boxes …
diffusion process from noisy boxes to object boxes. During the training stage, object boxes …
Resnet strikes back: An improved training procedure in timm
R Wightman, H Touvron, H Jégou - ar** and tissue domain segmentation for scalable spatial omics data analysis
Spatial omics data are clustered to define both cell types and tissue domains. We present
Building Aggregates with a Neighborhood Kernel and Spatial Yardstick (BANKSY), an …
Building Aggregates with a Neighborhood Kernel and Spatial Yardstick (BANKSY), an …
Multimodal fake news detection through data augmentation-based contrastive learning
During the information exploding era, news can be created or edited purposely for
promoting the spreading of social influence. However, unverified or fabricated news can …
promoting the spreading of social influence. However, unverified or fabricated news can …
IDSN: A one-stage interpretable and differentiable STFT domain adaptation network for traction motor of high-speed trains cross-machine diagnosis
C He, H Shi, J Li - Mechanical Systems and Signal Processing, 2023 - Elsevier
A surge of transfer fault diagnosis techniques has been proposed to guarantee the safe
operation of traction motor systems. However, existing efforts highly depend on the …
operation of traction motor systems. However, existing efforts highly depend on the …
The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning
Arguments that machine learning (ML) is facing a reproducibility and replication crisis
suggest that some published claims in research cannot be taken at face value. Concerns …
suggest that some published claims in research cannot be taken at face value. Concerns …
Evidence of questionable research practices in clinical prediction models
Background Clinical prediction models are widely used in health and medical research. The
area under the receiver operating characteristic curve (AUC) is a frequently used estimate to …
area under the receiver operating characteristic curve (AUC) is a frequently used estimate to …
Augmenting convolutional networks with attention-based aggregation
We show how to augment any convolutional network with an attention-based global map to
achieve non-local reasoning. We replace the final average pooling by an attention-based …
achieve non-local reasoning. We replace the final average pooling by an attention-based …
Learned queries for efficient local attention
Abstract Vision Transformers (ViT) serve as powerful vision models. Unlike convolutional
neural networks, which dominated vision research in previous years, vision transformers …
neural networks, which dominated vision research in previous years, vision transformers …
If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection
Despite their impressive capabilities, diffusion-based text-to-image (T2I) models can lack
faithfulness to the text prompt, where generated images may not contain all the mentioned …
faithfulness to the text prompt, where generated images may not contain all the mentioned …