Search Results for author:
Found 16 papers, 3 papers with code
Say ‘YES’ to Positivity: Detecting Toxic Language in Workplace Communications
Specifically, the lack of corpus, sparsity of toxicity in enterprise emails, and well-defined criteria for annotating toxic conversations have prevented researchers from addressing the problem at scale.
Score-based Generative Priors Guided Model-driven Network for MRI Reconstruction
However, the hyperparameters in the sampling process require subtle tuning, otherwise the results can be severely corrupted by hallucination artifacts, especially with out-of-distribution test data.
A Collaborative Model-driven Network for MRI Reconstruction
Deep learning (DL)-based methods offer a promising solution to reduce the prolonged scanning time in magnetic resonance imaging (MRI).
Detecting Generated Images by Real Images Only
This paper approaches the generated image detection problem from a new perspective: Start from real images.
High-Performance Fine Defect Detection in Artificial Leather Using Dual Feature Pool Object Detection
In this study, the structural problems of the YOLOv5 model were analyzed emphatically.
YOLOCS: Object Detection based on Dense Channel Compression for Feature Spatial Solidification
Maintaining inference speeds remarkably similar to those of the YOLOv5 model, the large, medium, and small YOLOCS models surpass the YOLOv5 model's AP by 1. 1%, 2. 3%, and 5. 2%, respectively.
Deep Lifelong Cross-modal Hashing
To this end, we, in this paper, propose a novel deep lifelong cross-modal hashing to achieve lifelong hashing retrieval instead of re-training hash function repeatedly when new data arrive.
DLBD: A Self-Supervised Direct-Learned Binary Descriptor
Since their binarization processes are not a component of the network, the learning-based binary descriptor cannot fully utilize the advances of deep learning.
MCF: Mutual Correction Framework for Semi-Supervised Medical Image Segmentation
Inspired by the plain contrast idea, MCF introduces two different subnets to explore and utilize the discrepancies between subnets to correct cognitive bias of the model.
YOLOSA: Object detection based on 2D local feature superimposed self-attention
Applying an attention module here can effectively improve the detection accuracy of the model.
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images
Assessment of myocardial viability is essential in diagnosis and treatment management of patients suffering from myocardial infarction, and classification of pathology on myocardium is the key to this assessment.
Poolingformer: Long Document Modeling with Pooling Attention
We first evaluate Poolingformer on two long sequence QA tasks: the monolingual NQ and the multilingual TyDi QA.
Color-related Local Binary Pattern: A Learned Local Descriptor for Color Image Recognition
In this paper, a color-related local binary pattern (cLBP) which learns the dominant patterns from the decoded LBP is proposed for color images recognition.
D-Unet: A Dual-encoder U-Net for Image Splicing Forgery Detection and Localization
The unfixed encoder autonomously learns the image fingerprints that differentiate between the tampered and non-tampered regions, whereas the fixed encoder intentionally provides the direction information that assists the learning and detection of the network.
RRU-Net: The Ringed Residual U-Net for Image Splicing Forgery Detection
The core idea of the RRU-Net is to strengthen the learning way of CNN, which is inspired by the recall and the consolidation mechanism of the human brain and implemented by the propagation and the feedback process of the residual in CNN.
Adaptive Class Preserving Representation for Image Classification
For example, the representation in sparse representation-based classification (SRC) uses L1 norm penalty as regularization, which is equal to lasso.
