research
∙
08/27/2023
Rethinking Exemplars for Continual Semantic Segmentation in Endoscopy Scenes: Entropy-based Mini-Batch Pseudo-Replay
Endoscopy is a widely used technique for the early detection of diseases...
share
research
∙
08/21/2023
MetaGCD: Learning to Continually Learn in Generalized Category Discovery
In this paper, we consider a real-world scenario where a model that is t...
research
∙
08/05/2023
Semi-supervised Learning for Segmentation of Bleeding Regions in Video Capsule Endoscopy
In the realm of modern diagnostic technology, video capsule endoscopy (V...
research
∙
08/05/2023
Landmark Detection using Transformer Toward Robot-assisted Nasal Airway Intubation
Robot-assisted airway intubation application needs high accuracy in loca...
research
∙
07/05/2023
LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion
Wireless capsule endoscopy (WCE) is a painless and non-invasive diagnost...
research
∙
04/21/2023
Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition
Multi-label image recognition aims to predict a set of labels that prese...
research
∙
12/25/2022
Bivariate functions with low c-differential uniformity
Starting with the multiplication of elements in 𝔽_q^2 which is consisten...
research
∙
12/15/2022
Two-stage Contextual Transformer-based Convolutional Neural Network for Airway Extraction from CT Images
Accurate airway extraction from computed tomography (CT) images is a cri...
research
∙
10/19/2022
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning
Detecting out-of-domain (OOD) intents from user queries is essential for...
research
∙
10/17/2022
Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery
Discovering out-of-domain (OOD) intent is important for developing new s...
research
∙
10/17/2022
Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning
Detecting Out-of-Domain (OOD) or unknown intents from user queries is es...
research
∙
09/14/2022
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation
Out-of-Domain (OOD) detection is a key component in a task-oriented dial...
research
∙
09/13/2022
Generalized Intent Discovery: Learning from Open World Dialogue System
Traditional intent classification models are based on a pre-defined inte...
research
∙
04/09/2022
Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization
The most advanced abstractive dialogue summarizers lack generalization a...
research
∙
05/29/2021
Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System
Existing slot filling models can only recognize pre-defined in-domain sl...
research
∙
05/29/2021
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning
Detecting Out-of-Domain (OOD) or unknown intents from user queries is es...
research
∙
04/30/2021
GM-MLIC: Graph Matching based Multi-Label Image Classification
Multi-Label Image Classification (MLIC) aims to predict a set of labels ...
research
∙
12/08/2020
On the differential spectrum of a class of power functions over finite fields
Differential uniformity is a significant concept in cryptography as it q...
research
∙
10/12/2020