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. 2207.11103
  4. Cited By
DeVIS: Making Deformable Transformers Work for Video Instance
  Segmentation

DeVIS: Making Deformable Transformers Work for Video Instance Segmentation

22 July 2022
Adria Caelles
Tim Meinhardt
Guillem Brasó
Laura Leal-Taixé
    ViT
ArXivPDFHTML

Papers citing "DeVIS: Making Deformable Transformers Work for Video Instance Segmentation"

3 / 3 papers shown
Title
NOVIS: A Case for End-to-End Near-Online Video Instance Segmentation
NOVIS: A Case for End-to-End Near-Online Video Instance Segmentation
Tim Meinhardt
Matt Feiszli
Yuchen Fan
Laura Leal-Taixe
Rakesh Ranjan
ViT
19
5
0
29 Aug 2023
Offline-to-Online Knowledge Distillation for Video Instance Segmentation
Offline-to-Online Knowledge Distillation for Video Instance Segmentation
H. Kim
Seunghun Lee
Sunghoon Im
OffRL
36
3
0
15 Feb 2023
STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos
STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos
A. Athar
Sabarinath Mahadevan
Aljosa Osep
Laura Leal-Taixé
Bastian Leibe
VOS
70
170
0
18 Mar 2020
1