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08/05/2023
Dynamic Dual-Graph Fusion Convolutional Network For Alzheimer's Disease Diagnosis
In this paper, a dynamic dual-graph fusion convolutional network is prop...
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08/31/2022
TRUST: An Accurate and End-to-End Table structure Recognizer Using Splitting-based Transformers
Table structure recognition is a crucial part of document image analysis...
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08/12/2022
Semantic decomposition Network with Contrastive and Structural Constraints for Dental Plaque Segmentation
Segmenting dental plaque from images of medical reagent staining provide...
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07/29/2022
Fine-grained Retrieval Prompt Tuning
Fine-grained object retrieval aims to learn discriminative representatio...
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01/26/2022
MonoDistill: Learning Spatial Features for Monocular 3D Object Detection
3D object detection is a fundamental and challenging task for 3D scene u...
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08/26/2021
An Underwater Image Semantic Segmentation Method Focusing on Boundaries and a Real Underwater Scene Semantic Segmentation Dataset
With the development of underwater object grabbing technology, underwate...
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07/29/2021
Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object Detection
As a crucial task of autonomous driving, 3D object detection has made gr...
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06/16/2021
2nd Place Solution for Waymo Open Dataset Challenge – Real-time 2D Object Detection
In an autonomous driving system, it is essential to recognize vehicles, ...
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06/10/2021
A Dataset And Benchmark Of Underwater Object Detection For Robot Picking
Underwater object detection for robot picking has attracted a lot of int...
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03/24/2021
Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution
Existing color-guided depth super-resolution (DSR) approaches require pa...
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03/10/2021
Quality-Aware Network for Human Parsing
How to estimate the quality of the network output is an important issue,...
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01/25/2021
A Unified Joint Maximum Mean Discrepancy for Domain Adaptation
Domain adaptation has received a lot of attention in recent years, and m...
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12/10/2020
Full Matching on Low Resolution for Disparity Estimation
A Multistage Full Matching disparity estimation scheme (MFM) is proposed...
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12/10/2020
Direct Depth Learning Network for Stereo Matching
Being a crucial task of autonomous driving, Stereo matching has made gre...
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09/20/2020
Renovating Parsing R-CNN for Accurate Multiple Human Parsing
Multiple human parsing aims to segment various human parts and associate...
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07/01/2020
Rethink Maximum Mean Discrepancy for Domain Adaptation
Existing domain adaptation methods aim to reduce the distributional diff...
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05/08/2020
Sparsely-Labeled Source Assisted Domain Adaptation
Domain Adaptation (DA) aims to generalize the classifier learned from th...
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04/23/2020
Location-Aware Feature Selection for Scene Text Detection
Direct regression-based natural scene text detection methods have alread...
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03/07/2020
CPM R-CNN: Calibrating Point-guided Misalignment in Object Detection
In object detection, offset-guided and point-guided regression dominate ...
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03/03/2020
UDD: An Underwater Open-sea Farm Object Detection Dataset for Underwater Robot Picking
To promote the development of underwater robot picking in sea farms, we ...
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02/23/2020
Planning for Compilation of a Quantum Algorithm for Graph Coloring
The problem of compiling general quantum algorithms for implementation o...
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12/24/2019
Probabilistic Filtered Soft Labels for Domain Adaptation
Many domain adaptation (DA) methods aim to project the source and target...
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03/27/2019
Accurate Monocular 3D Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving
In this paper, we propose a monocular 3D object detection framework in t...
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11/30/2018
Parsing R-CNN for Instance-Level Human Analysis
Instance-level human analysis is common in real-life scenarios and has m...
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08/09/2018
User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks
Scribble colors based line art colorization is a challenging computer vi...
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07/05/2018