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07/25/2023
Spectrum-guided Multi-granularity Referring Video Object Segmentation
Current referring video object segmentation (R-VOS) techniques extract c...
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07/11/2023
Feature Activation Map: Visual Explanation of Deep Learning Models for Image Classification
Decisions made by convolutional neural networks(CNN) can be understood a...
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07/21/2022
Region Aware Video Object Segmentation with Deep Motion Modeling
Current semi-supervised video object segmentation (VOS) methods usually ...
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03/02/2022
Imitation of Manipulation Skills Using Multiple Geometries
Daily manipulation tasks are characterized by regular characteristics as...
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12/21/2021
Distribution-aware Margin Calibration for Semantic Segmentation in Images
The Jaccard index, also known as Intersection-over-Union (IoU), is one o...
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09/25/2021
A Compositional Feature Embedding and Similarity Metric for Ultra-Fine-Grained Visual Categorization
Fine-grained visual categorization (FGVC), which aims at classifying obj...
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09/16/2021
Mask-Guided Feature Extraction and Augmentation for Ultra-Fine-Grained Visual Categorization
While the fine-grained visual categorization (FGVC) problems have been g...
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07/27/2021
Self-Supervised Video Object Segmentation by Motion-Aware Mask Propagation
We propose a self-supervised spatio-temporal matching method coined Moti...
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07/06/2021
Feature Fusion Vision Transformer for Fine-Grained Visual Categorization
The core for tackling the fine-grained visual categorization (FGVC) is t...
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07/03/2021
EAR-NET: Error Attention Refining Network For Retinal Vessel Segmentation
The precise detection of blood vessels in retinal images is crucial to t...
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06/15/2021
Image Feature Information Extraction for Interest Point Detection: A Comprehensive Review
Interest point detection is one of the most fundamental and critical pro...
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06/13/2021
NDPNet: A novel non-linear data projection network for few-shot fine-grained image classification
Metric-based few-shot fine-grained image classification (FSFGIC) aims to...
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03/03/2021
Extracting Optimal Explanations for Ensemble Trees via Logical Reasoning
Ensemble trees are a popular machine learning model which often yields h...
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02/04/2021
Mask guided attention for fine-grained patchy image classification
In this work, we present a novel mask guided attention (MGA) method for ...
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11/04/2020
Multi-layer Feature Aggregation for Deep Scene Parsing Models
Scene parsing from images is a fundamental yet challenging problem in vi...
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11/03/2020
Parameter Efficient Deep Neural Networks with Bilinear Projections
Recent research on deep neural networks (DNNs) has primarily focused on ...
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05/10/2020
A Generalized Kernel Risk Sensitive Loss for Robust Two-Dimensional Singular Value Decomposition
Two-dimensional singular decomposition (2DSVD) has been widely used for ...
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05/10/2020
A Unified Weight Learning and Low-Rank Regression Model for Robust Face Recognition
Regression-based error modelling has been extensively studied for face r...
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05/10/2020
Robust Tensor Decomposition for Image Representation Based on Generalized Correntropy
Traditional tensor decomposition methods, e.g., two dimensional principa...
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05/10/2020
A Robust Matching Pursuit Algorithm Using Information Theoretic Learning
Current orthogonal matching pursuit (OMP) algorithms calculate the corre...
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02/27/2020
Deep Residual-Dense Lattice Network for Speech Enhancement
Convolutional neural networks (CNNs) with residual links (ResNets) and c...
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12/02/2019
Patchy Image Structure Classification Using Multi-Orientation Region Transform
Exterior contour and interior structure are both vital features for clas...
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10/11/2019
From Species to Cultivar: Soybean Cultivar Recognition using Multiscale Sliding Chord Matching of Leaf Images
Leaf image recognition techniques have been actively researched for plan...
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08/11/2019
MobileFAN: Transferring Deep Hidden Representation for Face Alignment
Facial landmark detection is a crucial prerequisite for many face analys...
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05/15/2018
Robust Facial Landmark Localization Based on Texture and Pose Correlated Initialization
Robust facial landmark localization remains a challenging task when face...
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11/13/2017
Conditional Random Field and Deep Feature Learning for Hyperspectral Image Segmentation
Image segmentation is considered to be one of the critical tasks in hype...
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10/03/2011
