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08/23/2023
Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes
Large-scale well-annotated datasets are of great importance for training...
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04/23/2023
Semi-Supervised Semantic Segmentation With Region Relevance
Semi-supervised semantic segmentation aims to learn from a small amount ...
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04/02/2023
Learning Agreement from Multi-source Annotations for Medical Image Segmentation
In medical image analysis, it is typical to merge multiple independent a...
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03/23/2023
Masked Image Training for Generalizable Deep Image Denoising
When capturing and storing images, devices inevitably introduce noise. R...
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01/19/2023
FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network
Few-shot semantic segmentation is the task of learning to locate each pi...
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12/20/2022
RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structure Prediction
In subcellular biological research, fluorescence staining is a key techn...
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10/26/2022
Channel-Aware Ordered Successive Relaying with Finite-Blocklength Coding
Successive relaying can improve the transmission rate by allowing the so...
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07/11/2022
Intra-Modal Constraint Loss For Image-Text Retrieval
Cross-modal retrieval has drawn much attention in both computer vision a...
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06/20/2022
Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation
Weakly supervised semantic segmentation with only image-level labels aim...
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03/30/2022
Acknowledging the Unknown for Multi-label Learning with Single Positive Labels
Due to the difficulty of collecting exhaustive multi-label annotations, ...
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11/05/2021
Hepatic vessel segmentation based on 3Dswin-transformer with inductive biased multi-head self-attention
Purpose: Segmentation of liver vessels from CT images is indispensable p...
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10/09/2021
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning
The backpropagation networks are notably susceptible to catastrophic for...
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02/22/2021
Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic Segmentation
One-shot semantic image segmentation aims to segment the object regions ...
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11/16/2019
Instance Shadow Detection
Instance shadow detection is a brand new problem, aiming to find shadow ...
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11/16/2019
Revisiting Shadow Detection: A New Benchmark Dataset for Complex World
Shadow detection in general photos is a nontrivial problem, due to the c...
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03/22/2018
Group Sparsity Residual with Non-Local Samples for Image Denoising
Inspired by group-based sparse coding, recently proposed group sparsity ...
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04/05/2017
Non-Convex Weighted Lp Minimization based Group Sparse Representation Framework for Image Denoising
Nonlocal image representation or group sparsity has attracted considerab...
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03/01/2017
Group Sparsity Residual Constraint for Image Denoising
Group-based sparse representation has shown great potential in image den...
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01/03/2017
Image denoising using group sparsity residual and external nonlocal self-similarity prior
Nonlocal image representation has been successfully used in many image-r...
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11/28/2016
Analyzing the group sparsity based on the rank minimization methods
Sparse coding has achieved a great success in various image processing s...
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09/12/2016
Image denoising via group sparsity residual constraint
Group sparsity has shown great potential in various low-level vision tas...
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08/16/2016