ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
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

AAAI Conference on Artificial Intelligence (AAAI), 2019
11 December 2019
Shaoru Wang
Yongchao Gong
Junliang Xing
Lichao Huang
Chang Huang
Weiming Hu
    ISeg
ArXiv (abs)PDFHTMLGithub (309★)

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

10 / 10 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
336
32
0
03 Apr 2025
DI-MaskDINO: A Joint Object Detection and Instance Segmentation Model
DI-MaskDINO: A Joint Object Detection and Instance Segmentation ModelNeural Information Processing Systems (NeurIPS), 2024
Jingjing Jiang
Xianghong Li
Tao Xiang
Jifeng Dai
ISeg
180
7
0
22 Oct 2024
ENACT: Entropy-based Clustering of Attention Input for Reducing the Computational Needs of Object Detection Transformers
ENACT: Entropy-based Clustering of Attention Input for Reducing the Computational Needs of Object Detection TransformersInternational Conference on Information Photonics (ICIP), 2024
Giorgos Savathrakis
Antonis Argyros
ViT
108
0
0
11 Sep 2024
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 AttentionPattern Recognition (Pattern Recogn.), 2023
Raja Sunkara
Tie-Mei Luo
ObjD
111
13
0
12 Jul 2023
SOIT: Segmenting Objects with Instance-Aware Transformers
SOIT: Segmenting Objects with Instance-Aware TransformersAAAI Conference on Artificial Intelligence (AAAI), 2021
Xiaodong Yu
Dahu Shi
Xing Wei
Ye Ren
Ting Ye
Wenming Tan
ViT
220
30
0
21 Dec 2021
Learning to Aggregate Multi-Scale Context for Instance Segmentation in
  Remote Sensing Images
Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing ImagesIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Ye Liu
Huifang Li
Chao Hu
Shuang Luo
Yan Luo
Xin Sun
ISeg
367
81
0
22 Nov 2021
Evolving Image Compositions for Feature Representation Learning
Evolving Image Compositions for Feature Representation Learning
Paola Cascante-Bonilla
Arshdeep Sekhon
Yanjun Qi
Vicente Ordonez
SSL
179
7
0
16 Jun 2021
Scaled-YOLOv4: Scaling Cross Stage Partial Network
Scaled-YOLOv4: Scaling Cross Stage Partial NetworkComputer Vision and Pattern Recognition (CVPR), 2020
Chien-Yao Wang
Alexey Bochkovskiy
H. Liao
ObjD
304
1,335
0
16 Nov 2020
SipMask: Spatial Information Preservation for Fast Image and Video
  Instance Segmentation
SipMask: Spatial Information Preservation for Fast Image and Video Instance SegmentationEuropean Conference on Computer Vision (ECCV), 2020
Jiale Cao
Rao Muhammad Anwer
Hisham Cholakkal
Fahad Shahbaz Khan
Yanwei Pang
Ling Shao
ISeg
167
185
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
VLMObjD
374
14,205
0
23 Apr 2020
1