AD Research Hub
DashboardPeoplePapersWorkshopsDatasetsResearch Map
Login
⌘K
AD Research Hub — Anomaly Detection in Computer Vision
← Back to Papers
AGO: Adaptive Grounding for Open World 3D Occupancy Prediction

Authors

Peizheng Li, Shuxiao Ding, You Zhou, Qingwen Zhang, Onat Inak, Larissa Triess, Niklas Hanselmann, Marius Cordts, Andreas Zell

ICCV-2025broader adjacent

Score

4

Tags

open world

Methods

Self-supervisedFew-shotZero-shot

Links

Paper PagearXiv AbstractarXiv PDF

Cite

Related Papers

Detecting Open World Objects via Partial Attribute Assignment

Muli Yang, Gabriel James Goenawan, Huaiyuan Qin +4

CVPR-2025broader adjacent4
open world
PDF

OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad

Luyao Tang, Yuxuan Yuan, Chaoqi Chen +3

CVPR-2025broader adjacent4
open world
CLIP
PDFarXiv

OpenSDI: Spotting Diffusion-Generated Images in the Open World

Yabin Wang, Zhiwu Huang, Xiaopeng Hong

CVPR-2025broader adjacent4
open world
CLIPAutoencoder
PDFarXiv

OW-OVD: Unified Open World and Open Vocabulary Object Detection

Xing Xi, Yangyang Huang, Ronghua Luo +1

CVPR-2025broader adjacent4
open world
Zero-shot
PDF

Decoupled PROB: Decoupled Query Initialization Tasks and Objectness-Class Learning for Open World Object Detection

Riku Inoue, Masamitsu Tsuchiya, Yuji Yasui

WACV-2025broader adjacent4
open world
PDF

Learning to Identify Seen Unseen and Unknown in the Open World: A Practical Setting for Zero-Shot Learning

Sethupathy Parameswaran, Yuan Fang, Chandan Gautam +2

WACV-2025broader adjacent4
open world
Zero-shot
PDF

Sign in to access this content

Sign in