Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales

Terms and Conditions

Twitter GitHub LinkedIn Bluesky Youtube

© 2026 ResearchTrend.AI, All rights reserved.

Home
Papers
2003.03913
Cited By

FarSee-Net: Real-Time Semantic Segmentation by Efficient Multi-scale
Context Aggregation and Feature Space Super-resolution

FarSee-Net: Real-Time Semantic Segmentation by Efficient Multi-scale Context Aggregation and Feature Space Super-resolution

IEEE International Conference on Robotics and Automation (ICRA), 2020

9 March 2020

ArXiv (abs)PDF HTML

Papers citing "FarSee-Net: Real-Time Semantic Segmentation by Efficient Multi-scale Context Aggregation and Feature Space Super-resolution"

5 / 5 papers shown

Multi-Level Aggregation and Recursive Alignment Architecture for
Efficient Parallel Inference Segmentation Network

Multi-Level Aggregation and Recursive Alignment Architecture for Efficient Parallel Inference Segmentation Network

396

0

0

03 Feb 2024

Memory-Constrained Semantic Segmentation for Ultra-High Resolution UAV
Imagery

Memory-Constrained Semantic Segmentation for Ultra-High Resolution UAV ImageryIEEE Robotics and Automation Letters (RA-L), 2023

Jia Pan

224

11

0

07 Oct 2023

MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for
Real-Time Semantic Segmentation

MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation

Guangwei Gao

188

128

0

24 Mar 2021

Real-time Semantic Segmentation with Context Aggregation Network

Real-time Semantic Segmentation with Context Aggregation NetworkIEEE International Conference on Robotics and Automation (ICRA), 2020

337

76

0

02 Nov 2020

RoadNet-RT: High Throughput CNN Architecture and SoC Design for
Real-Time Road Segmentation

RoadNet-RT: High Throughput CNN Architecture and SoC Design for Real-Time Road SegmentationIEEE Transactions on Circuits and Systems Part 1: Regular Papers (TCAS-I), 2020

348

33

0

13 Jun 2020

Page 1 of 1