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. 2408.11221
  4. Cited By
On the Potential of Open-Vocabulary Models for Object Detection in
  Unusual Street Scenes

On the Potential of Open-Vocabulary Models for Object Detection in Unusual Street Scenes

20 August 2024
Sadia Ilyas
Ido Freeman
Matthias Rottmann
    ObjD
ArXivPDFHTML

Papers citing "On the Potential of Open-Vocabulary Models for Object Detection in Unusual Street Scenes"

3 / 3 papers shown
Title
Can Large Language Models Truly Understand Prompts? A Case Study with
  Negated Prompts
Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts
Joel Jang
Seonghyeon Ye
Minjoon Seo
ELM
LRM
79
64
0
26 Sep 2022
Segmenting Known Objects and Unseen Unknowns without Prior Knowledge
Segmenting Known Objects and Unseen Unknowns without Prior Knowledge
Stefano Gasperini
Alvaro Marcos-Ramiro
Michael Schmidt
Nassir Navab
Benjamin Busam
F. Tombari
25
8
0
12 Sep 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
1