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. 2408.04961
  4. Cited By
In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic
  Segmentation

In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation

9 August 2024
Dahyun Kang
Minsu Cho
    ObjDVLM
ArXiv (abs)PDFHTML

Papers citing "In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation"

5 / 55 papers shown
Title
Learning Deconvolution Network for Semantic Segmentation
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
SSeg
235
4,180
0
17 May 2015
Unsupervised Object Discovery and Localization in the Wild: Part-based
  Matching with Bottom-up Region Proposals
Unsupervised Object Discovery and Localization in the Wild: Part-based Matching with Bottom-up Region Proposals
Minsu Cho
Suha Kwak
Cordelia Schmid
Jean Ponce
83
280
0
25 Jan 2015
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
1.7K
39,595
0
01 Sep 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
429
43,814
0
01 May 2014
Efficient Inference in Fully Connected CRFs with Gaussian Edge
  Potentials
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Philipp Krahenbuhl
V. Koltun
132
3,458
0
20 Oct 2012
Previous
12