Scientific Research Publishing

Geo-Refined Point Transformer: Coordinate-Aware Excitation and Positional Upsampling for 3D Scene Segmentation ()

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...

China's Z.ai claims it trained a model using only Huawei hardware

Chinese outfit Zhipu AI claims it trained a new model entirely using Huawei hardware, and that it’s the first company to ...
Frontiers

Deciphering metabolic disease mechanisms for natural medicine discovery via graph autoencoders

Metabolic diseases, such as diabetes, pose significant risks to human health due to their complex pathogenic mechanisms, complicating the use of combination drug therapies. Natural medicines, which ...
IEEE

Mask Focal Modulation Network for Gastric Intestinal Metaplasia Segmentation

Abstract: Gastric intestinal metaplasia (IM) is an important precancerous lesion with a high correlation to gastric cancer. Early gastric IM diagnosis is very important in reducing the risk of gastric ...
GitHub

Using EncoderDecoderModel with Adapters / No module named 'adapters.models.encoder_decoder'

I am trying to use adapters with an Encoder-Decoder model. The suggested approach to do this according to the docs would be: from transformers import EncoderDecoderModel import adapters model = ...
GitHub

Kosmos-2.5 implementation in transformers

The Kosmos-2.5 is a multimodal literate model that can be used for tasks such as OCR and text-rich image comprehension. It includes a ViT encoder, a Resampler, and a shared decoder module. To the best ...
C&EN

Hybrid Deep Learning Approach for Hydraulic Fracture Morphology Diagnosis in Coalbed Methane Wells

State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Xindu Avenue 8, Chengdu 610500, China Institute for Artificial Intelligence, Southwest Petroleum ...
IEEE

CorrFractal: High-Resolution Correspondence Method Using Fractal Affinity on Self-Supervised Learning

Abstract: Existing supervised learning-based methods performed high-resolution visual correspondence using a decoder module. However, in self-supervised learning-based methods, it is difficult to use ...