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19982026
most citedConvergence of Edge Computing and Deep Learning: A Comprehensive Survey

1.5k citations

Showing 2025 · cs.CVShow all

8 papers · 2 filters

cs.CV2025

Enhancing 3D Semantic Scene Completion with a Refinement Module

Dunxing Zhang, Jiachen Lu, Han Yang +2

We propose ESSC-RM, a plug-and-play Enhancing framework for Semantic Scene Completion with a Refinement Module, which can be seamlessly integrated into existing SSC models. ESSC-RM…

cs.CV2025

CMI-MTL: Cross-Mamba interaction based multi-task learning for medical visual question answering

Qiangguo Jin, Xianyao Zheng, Hui Cui +7

Medical visual question answering (Med-VQA) is a crucial multimodal task in clinical decision support and telemedicine. Recent self-attention based methods struggle to effectively…

cs.CV2025

AM-Net: Adaptively Aligned Multi-Scale Moment for Few-Shot Action Recognition

Zilin Gao, Qilong Wang, Bingbing Zhang +2

Thanks to capability to alleviate the cost of large-scale annotation, few-shot action recognition (FSAR) has attracted increased attention of researchers in recent years. Existing…

cs.CV2025★ 45 cited

Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation

Qiangguo Jin, Hui Cui, Junbo Wang +7

Semi-supervised learning (SSL) has attracted considerable attention in medical image processing. The latest SSL methods use a combination of consistency regularization and pseudo-l…

cs.CV2025★ 7 cited

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation

Xuzhi Wang, Wei Feng, Lingdong Kong +1

LiDAR semantic segmentation plays a vital role in autonomous driving. Existing voxel-based methods for LiDAR semantic segmentation apply uniform partition to the 3D LiDAR point clo…

cs.CV2025★ 6 cited

Structure Causal Models and LLMs Integration in Medical Visual Question Answering

Zibo Xu, Qiang Li, Weizhi Nie +2

Medical Visual Question Answering (MedVQA) aims to answer medical questions according to medical images. However, the complexity of medical data leads to confounders that are diffi…

cs.CV2025★ 10 cited

PanoGen++: Domain-Adapted Text-Guided Panoramic Environment Generation for Vision-and-Language Navigation

Sen Wang, Dongliang Zhou, Liang Xie +3

Vision-and-language navigation (VLN) tasks require agents to navigate three-dimensional environments guided by natural language instructions, offering substantial potential for div…

cs.CV2025★ 1 cited

Bayesian Neural Networks for One-to-Many Mapping in Image Enhancement

Guoxi Huang, Qirui Yang, Ruirui Lin +3

In image enhancement tasks, such as low-light and underwater image enhancement, a degraded image can correspond to multiple plausible target images due to dynamic photography condi…