Controlling Rate, Distortion, and Realism: Towards a Single Comprehensive Neural Image Compression Model

iwa-shi/CRDR 27 May 2024

A critical obstacle of these generative NIC methods is that each model is optimized for a single bit rate.

0
27 May 2024

A Retrospective of the Tutorial on Opportunities and Challenges of Online Deep Learning

lucasczz/deep-river-demo-23 27 May 2024

This is done with the use of online learning or continuous ML technologies.

6
27 May 2024

HDC: Hierarchical Semantic Decoding with Counting Assistance for Generalized Referring Expression Segmentation

RobertLuo1/HDC 27 May 2024

The newly proposed Generalized Referring Expression Segmentation (GRES) amplifies the formulation of classic RES by involving multiple/non-target scenarios.

5
27 May 2024

KSW: Khmer Stop Word based Dictionary for Keyword Extraction

back-kh/KSWv2-Khmer-Stop-Word-based-Dictionary-for-Keyword-Extraction 27 May 2024

This paper introduces KSW, a Khmer-specific approach to keyword extraction that leverages a specialized stop word dictionary.

1
27 May 2024

DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems

CIAM-Group/NCO_code 27 May 2024

The min-max vehicle routing problem (min-max VRP) traverses all given customers by assigning several routes and aims to minimize the length of the longest route.

36
27 May 2024

Advanced Language Model-based Translator for English-Vietnamese Translation

doctranslate-io/viet-translation-llm 2024 2024

We introduce a transformative approach to English-Vietnamese translation, leveraging the cutting edge capabilities of the Gemma-7B-IT (Gemma Team et al. 2024) model.

0
27 May 2024

Demystify Mamba in Vision: A Linear Attention Perspective

LeapLabTHU/MLLA 26 May 2024

By exploring the similarities and disparities between the effective Mamba and subpar linear attention Transformer, we provide comprehensive analyses to demystify the key factors behind Mamba's success.

2
26 May 2024

A First Look at Kolmogorov-Arnold Networks in Surrogate-assisted Evolutionary Algorithms

hhyqhh/KAN-EA 26 May 2024

We employ KANs for regression and classification tasks, focusing on the selection of promising solutions during the search process, which consequently reduces the number of expensive function evaluations.

1
26 May 2024

Multi-scale Quaternion CNN and BiGRU with Cross Self-attention Feature Fusion for Fault Diagnosis of Bearing

mubai011/MQCCAF 25 May 2024

In this work, we propose a novel FD model by integrating multi-scale quaternion convolutional neural network (MQCNN), bidirectional gated recurrent unit (BiGRU), and cross self-attention feature fusion (CSAFF).

Fault Detection

0
25 May 2024

Evaluating deep learning methods applied to Landsat time series subsequences to detect and classify boreal forest disturbances events: The challenge of partial and progressive disturbances

Patawaitte/FoDiM Remote Sensing of Environment 2024

The goal of this paper is to explore the use of a subset of Landsat time series and deep learning models to identify both the type and the year of disturbances, including low-severity and gradual disturbances, in the boreal forest of eastern Canada at the pixel level.

Time Series

1
25 May 2024