ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1912.05070
  4. Cited By
RDSNet: A New Deep Architecture for Reciprocal Object Detection and
  Instance Segmentation

RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation

11 December 2019
Shaoru Wang
Yongchao Gong
Junliang Xing
Lichao Huang
Chang Huang
Weiming Hu
    ISeg
ArXivPDFHTML

Papers citing "RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation"

4 / 4 papers shown
Title
Rip Current Segmentation: A Novel Benchmark and YOLOv8 Baseline Results
Rip Current Segmentation: A Novel Benchmark and YOLOv8 Baseline Results
Andrei Dumitriu
Florin Tatui
Florin Miron
Radu Tudor Ionescu
Radu Timofte
42
21
0
03 Apr 2025
YOGA: Deep Object Detection in the Wild with Lightweight Feature
  Learning and Multiscale Attention
YOGA: Deep Object Detection in the Wild with Lightweight Feature Learning and Multiscale Attention
Raja Sunkara
Tie-Mei Luo
ObjD
28
12
0
12 Jul 2023
SipMask: Spatial Information Preservation for Fast Image and Video
  Instance Segmentation
SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation
Jiale Cao
Rao Muhammad Anwer
Hisham Cholakkal
F. Khan
Yanwei Pang
Ling Shao
ISeg
27
169
0
29 Jul 2020
YOLOv4: Optimal Speed and Accuracy of Object Detection
YOLOv4: Optimal Speed and Accuracy of Object Detection
Alexey Bochkovskiy
Chien-Yao Wang
H. Liao
VLM
ObjD
30
12,051
0
23 Apr 2020
1