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. 2203.16768
  4. Cited By
ReSTR: Convolution-free Referring Image Segmentation Using Transformers

ReSTR: Convolution-free Referring Image Segmentation Using Transformers

31 March 2022
N. Kim
Dongwon Kim
Cuiling Lan
Wenjun Zeng
Suha Kwak
ArXivPDFHTML

Papers citing "ReSTR: Convolution-free Referring Image Segmentation Using Transformers"

12 / 12 papers shown
Title
Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception
Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception
Ziqi Pang
Xin Xu
Yu-Xiong Wang
DiffM
60
0
0
15 Apr 2025
A Parameter-Efficient Tuning Framework for Language-guided Object Grounding and Robot Grasping
A Parameter-Efficient Tuning Framework for Language-guided Object Grounding and Robot Grasping
Houjian Yu
Mingen Li
Alireza Rezazadeh
Yang Yang
Changhyun Choi
40
1
0
28 Sep 2024
RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner
RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner
Ying-Dong Zang
Chenglong Fu
Runlong Cao
Didi Zhu
Min Zhang
Wenjun Hu
Lanyun Zhu
Tianrun Chen
21
6
0
08 Feb 2024
Mask Grounding for Referring Image Segmentation
Mask Grounding for Referring Image Segmentation
Yong Xien Chng
Henry Zheng
Yizeng Han
Xuchong Qiu
Gao Huang
ISeg
ObjD
22
15
0
19 Dec 2023
Synchronizing Vision and Language: Bidirectional Token-Masking
  AutoEncoder for Referring Image Segmentation
Synchronizing Vision and Language: Bidirectional Token-Masking AutoEncoder for Referring Image Segmentation
Minhyeok Lee
Dogyoon Lee
Jungho Lee
Suhwan Cho
Heeseung Choi
Ig-Jae Kim
Sangyoun Lee
23
0
0
29 Nov 2023
Temporal Collection and Distribution for Referring Video Object
  Segmentation
Temporal Collection and Distribution for Referring Video Object Segmentation
Jiajin Tang
Ge Zheng
Sibei Yang
VOS
26
14
0
07 Sep 2023
MeViS: A Large-scale Benchmark for Video Segmentation with Motion
  Expressions
MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions
Henghui Ding
Chang Liu
Shuting He
Xudong Jiang
Chen Change Loy
VOS
33
101
0
16 Aug 2023
RefSAM: Efficiently Adapting Segmenting Anything Model for Referring
  Video Object Segmentation
RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation
Yonglin Li
Jing Zhang
Xiao Teng
Long Lan
VOS
VLM
16
16
0
03 Jul 2023
Multi-Modal Mutual Attention and Iterative Interaction for Referring
  Image Segmentation
Multi-Modal Mutual Attention and Iterative Interaction for Referring Image Segmentation
Chang Liu
Henghui Ding
Yulun Zhang
Xudong Jiang
19
47
0
24 May 2023
[CLS] Token is All You Need for Zero-Shot Semantic Segmentation
[CLS] Token is All You Need for Zero-Shot Semantic Segmentation
Letian Wu
Wenya Zhang
Tengping Jiang
Wankou Yang
Xin Jin
Wenjun Zeng
VLM
11
4
0
13 Apr 2023
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
263
3,538
0
24 Feb 2021
Bottleneck Transformers for Visual Recognition
Bottleneck Transformers for Visual Recognition
A. Srinivas
Tsung-Yi Lin
Niki Parmar
Jonathon Shlens
Pieter Abbeel
Ashish Vaswani
SLR
267
955
0
27 Jan 2021
1