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Found 6 papers, 4 papers with code
The Evolution of Multimodal Model Architectures
This work uniquely identifies and characterizes four prevalent multimodal model architectural patterns in the contemporary multimodal landscape.
MobileViTv3: Mobile-Friendly Vision Transformer with Simple and Effective Fusion of Local, Global and Input Features
We propose changes to the fusion block that are simple and effective to create MobileViTv3-block, which addresses the scaling and simplifies the learning task.
Ranked #707 on
Image Classification
on <h2>oi</h2>
Reinforcement Learning Approach for Mapping Applications to Dataflow-Based Coarse-Grained Reconfigurable Array
In this work we propose a Reinforcement Learning framework with Global Graph Attention (GGA) module and output masking of invalid placements to find and optimize instruction schedules.
Noise Reconstruction and Removal Network: A New Way to Denoise FIB-SEM Images
Recent advances in Focused Ion Beam-Scanning Electron Microscopy (FIB-SEM) allow the imaging and analysis of cellular ultrastructure at nanoscale resolution, but the collection of labels and/or noise-free data sets has several challenges, often immutable.
LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation
As a result they are huge in terms of parameters and number of operations; hence slow too.
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
The ability to perform pixel-wise semantic segmentation in real-time is of paramount importance in mobile applications.
Ranked #10 on
Semantic Segmentation
on ScanNetV2
