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04/15/2023
OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization
Transformer-based large language models (LLMs) have achieved great succe...
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07/13/2022
DSPNet: Towards Slimmable Pretrained Networks based on Discriminative Self-supervised Learning
Self-supervised learning (SSL) has achieved promising downstream perform...
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07/05/2022
SiamMask: A Framework for Fast Online Object Tracking and Segmentation
In this paper we introduce SiamMask, a framework to perform both visual ...
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06/30/2022
PolarFormer: Multi-camera 3D Object Detection with Polar Transformers
3D object detection in autonomous driving aims to reason "what" and "whe...
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06/07/2022
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach
In recent years, colorectal cancer has become one of the most significan...
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06/02/2022
CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron
Cervical cancer is the seventh most common cancer among all the cancers ...
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05/28/2022
A Closer Look at Self-supervised Lightweight Vision Transformers
Self-supervised learning on large-scale Vision Transformers (ViTs) as pr...
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05/25/2022
A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformer
Gastric cancer is the fifth most common cancer in the world. At the same...
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03/20/2022
Open-Vocabulary One-Stage Detection with Hierarchical Visual-Language Knowledge Distillation
Open-vocabulary object detection aims to detect novel object categories ...
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02/17/2022
EBHI:A New Enteroscope Biopsy Histopathological H E Image Dataset for Image Classification Evaluation
Background and purpose: Colorectal cancer has become the third most comm...
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01/10/2022
A Scalable Solution for Running Ensemble Simulations for Photovoltaic Energy
This chapter proposes and provides an in-depth discussion of a scalable ...
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08/29/2021
Differentiable Convolution Search for Point Cloud Processing
Exploiting convolutional neural networks for point cloud processing is q...
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06/04/2021
A New Gastric Histopathology Subsize Image Database (GasHisSDB) for Classification Algorithm Test: from Linear Regression to Visual Transformer
GasHisSDB is a New Gastric Histopathology Subsize Image Database with a ...
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06/03/2021
A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Perfo
Image classification has achieved unprecedented advance with the the rap...
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05/16/2021
Is Image Size Important? A Robustness Comparison of Deep Learning Methods for Multi-scale Cell Image Classification Tasks: from Convolutional Neural Networks to Visual Transfor
Cervical cancer is a very common and fatal cancer in women, but it can b...
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04/29/2021
GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathology Image Classification
For deep learning methods applied to the diagnosis of gastric cancer int...
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03/08/2021
Weather Analogs with a Machine Learning Similarity Metric for Renewable Resource Forecasting
The Analog Ensemble (AnEn) technique has been shown effective on several...
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02/04/2021
Using Long Short-Term Memory (LSTM) and Internet of Things (IoT) for localized surface temperature forecasting in an urban environment
The rising temperature is one of the key indicators of a warming climate...
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08/06/2020
Towards Accurate Pixel-wise Object Tracking by Attention Retrieval
The encoding of the target in object tracking moves from the coarse boun...
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12/11/2019
RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation
Object detection and instance segmentation are two fundamental computer ...
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10/24/2019
Anchor Diffusion for Unsupervised Video Object Segmentation
Unsupervised video object segmentation has often been tackled by methods...
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10/13/2019
VATEX Captioning Challenge 2019: Multi-modal Information Fusion and Multi-stage Training Strategy for Video Captioning
Multi-modal information is essential to describe what has happened in a ...
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09/26/2019
Probabilistic Forecasting using Deep Generative Models
The Analog Ensemble (AnEn) method tries to estimate the probability dist...
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05/08/2019
Multimodal Semantic Attention Network for Video Captioning
Inspired by the fact that different modalities in videos carry complemen...
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12/12/2018
Fast Online Object Tracking and Segmentation: A Unifying Approach
In this paper we illustrate how to perform both visual object tracking a...
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08/18/2018
Distractor-aware Siamese Networks for Visual Object Tracking
Recently, Siamese networks have drawn great attention in visual tracking...
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08/03/2018
Interaction-aware Spatio-temporal Pyramid Attention Networks for Action Classification
Local features at neighboring spatial positions in feature maps have hig...
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10/23/2017
Harnessing the Power of Many: Extensible Toolkit for Scalable Ensemble Applications
Many scientific problems require multiple distinct computational tasks t...
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01/04/2014
Context-Aware Hypergraph Construction for Robust Spectral Clustering
Spectral clustering is a powerful tool for unsupervised data analysis. I...
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07/13/2012
