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Zero-Shot Object Detection

Zero-shot object detection (ZSD) is the task of object detection where no visual training data is available for some of the target object classes.

( Image credit: Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts )

Papers

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Showing 26–50 of 57 papers

TitleStatusHype
DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLMCode1
ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World DataCode1
Zero-Shot Instance SegmentationCode1
Open-vocabulary Object Detection via Vision and Language Knowledge DistillationCode1
LangGas: Introducing Language in Selective Zero-Shot Background Subtraction for Semi-Transparent Gas Leak Detection with a New DatasetCode1
Zero-shot detection of daily objects in YCB video dataset—0
CP-DETR: Concept Prompt Guide DETR Toward Stronger Universal Object Detection—0
Eating Smart: Advancing Health Informatics with the Grounding DINO based Dietary Assistant App—0
Finding the Reflection Point: Unpadding Images to Remove Data Augmentation Artifacts in Large Open Source Image Datasets for Machine Learning—0
Frustratingly Simple but Effective Zero-shot Detection and Segmentation: Analysis and a Strong Baseline—0
Image Captioning with Unseen Objects—0
Meta-ZSDETR: Zero-shot DETR with Meta-learning—0
Multimodal Data Curation via Object Detection and Filter Ensembles—0
Multi-Modal Few-Shot Object Detection with Meta-Learning-Based Cross-Modal Prompting—0
On Hyperbolic Embeddings in 2D Object Detection—0
Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO—0
Semantics-Guided Contrastive Network for Zero-Shot Object detection—0
The Power of One: A Single Example is All it Takes for Segmentation in VLMs—0
Transductive Learning for Zero-Shot Object Detection—0
UniFa: A unified feature hallucination framework for any-shot object detection—0
A Survey of Deep Learning for Low-Shot Object Detection—0
Zero-Shot Object Detection—0
Zero-Shot Visual Classification with Guided Cropping—0
No Annotations for Object Detection in Art through Stable DiffusionCode0
Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel ConceptsCode0
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