Pyramid vision transformer: A versatile backbone for dense prediction without convolutions
Although convolutional neural networks (CNNs) have achieved great success in computer
vision, this work investigates a simpler, convolution-free backbone network useful for many …
vision, this work investigates a simpler, convolution-free backbone network useful for many …
Shape robust text detection with progressive scale expansion network
Scene text detection has witnessed rapid progress especially with the recent development of
convolutional neural networks. However, there still exists two challenges which prevent the …
convolutional neural networks. However, there still exists two challenges which prevent the …
[HTML][HTML] Pvt v2: Improved baselines with pyramid vision transformer
Transformers have recently lead to encouraging progress in computer vision. In this work,
we present new baselines by improving the original Pyramid Vision Transformer (PVT v1) by …
we present new baselines by improving the original Pyramid Vision Transformer (PVT v1) by …
Bevformer: Learning bird's-eye-view representation from multi-camera images via spatiotemporal transformers
3D visual perception tasks, including 3D detection and map segmentation based on multi-camera
images, are essential for autonomous driving systems. In this work, we present a new …
images, are essential for autonomous driving systems. In this work, we present a new …
Adiponectin expression from human adipose tissue: relation to obesity, insulin resistance, and tumor necrosis factor-α expression
PA Kern, GB Di Gregorio, T Lu, N Rassouli… - Diabetes, 2003 - Am Diabetes Assoc
Adiponectin is a 29-kDa adipocyte protein that has been linked to the insulin resistance of
obesity and lipodystrophy. To better understand the regulation of adiponectin expression, we …
obesity and lipodystrophy. To better understand the regulation of adiponectin expression, we …
Reversed charge transfer and enhanced hydrogen spillover in platinum nanoclusters anchored on titanium oxide with rich oxygen vacancies boost hydrogen …
…, HJ Wang, C Zhang, K Xu, XL Lu, TB Lu - Angewandte …, 2021 - Wiley Online Library
The catalytic activity of metal clusters is closely related with the support; however, knowledge
on the influence of the support on the catalytic activity is scarce. We demonstrate that Pt …
on the influence of the support on the catalytic activity is scarce. We demonstrate that Pt …
Internimage: Exploring large-scale vision foundation models with deformable convolutions
Compared to the great progress of large-scale vision transformers (ViTs) in recent years,
large-scale models based on convolutional neural networks (CNNs) are still in an early state. …
large-scale models based on convolutional neural networks (CNNs) are still in an early state. …
Visionllm: Large language model is also an open-ended decoder for vision-centric tasks
Large language models (LLMs) have notably accelerated progress towards artificial general
intelligence (AGI), with their impressive zero-shot capacity for user-tailored tasks, endowing …
intelligence (AGI), with their impressive zero-shot capacity for user-tailored tasks, endowing …
Vision transformer adapter for dense predictions
This work investigates a simple yet powerful adapter for Vision Transformer (ViT). Unlike recent
visual transformers that introduce vision-specific inductive biases into their architectures, …
visual transformers that introduce vision-specific inductive biases into their architectures, …
Encapsulating Perovskite Quantum Dots in Iron‐Based Metal–Organic Frameworks (MOFs) for Efficient Photocatalytic CO2 Reduction
…, W Zhang, ZM Zhang, M Zhang, TB Lu - Angewandte Chemie …, 2019 - Wiley Online Library
Improving the stability of lead halide perovskite quantum dots (QDs) in a system containing
water is the key for their practical application in artificial photosynthesis. Herein, we …
water is the key for their practical application in artificial photosynthesis. Herein, we …