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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 1–25 of 57 papers

TitleStatusHype
VisionReasoner: Unified Visual Perception and Reasoning via Reinforcement LearningCode4
Towards a Multi-Agent Vision-Language System for Zero-Shot Novel Hazardous Object Detection for Autonomous Driving SafetyCode0
Finding the Reflection Point: Unpadding Images to Remove Data Augmentation Artifacts in Large Open Source Image Datasets for Machine Learning—0
The Power of One: A Single Example is All it Takes for Segmentation in VLMs—0
LangGas: Introducing Language in Selective Zero-Shot Background Subtraction for Semi-Transparent Gas Leak Detection with a New DatasetCode1
UniFa: A unified feature hallucination framework for any-shot object detection—0
CP-DETR: Concept Prompt Guide DETR Toward Stronger Universal Object Detection—0
No Annotations for Object Detection in Art through Stable DiffusionCode0
Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D ObjectsCode0
DINO-X: A Unified Vision Model for Open-World Object Detection and UnderstandingCode5
OV-DINO: Unified Open-Vocabulary Detection with Language-Aware Selective FusionCode3
Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO—0
Eating Smart: Advancing Health Informatics with the Grounding DINO based Dietary Assistant App—0
OV-DQUO: Open-Vocabulary DETR with Denoising Text Query Training and Open-World Unknown Objects SupervisionCode1
Grounding DINO 1.5: Advance the "Edge" of Open-Set Object DetectionCode7
T-Rex2: Towards Generic Object Detection via Text-Visual Prompt SynergyCode7
DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLMCode1
Real-time Transformer-based Open-Vocabulary Detection with Efficient Fusion HeadCode5
Synthesizing Knowledge-enhanced Features for Real-world Zero-shot Food DetectionCode0
YOLO-World: Real-Time Open-Vocabulary Object DetectionCode9
Multimodal Data Curation via Object Detection and Filter Ensembles—0
SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food DetectionCode1
Zero-Shot Visual Classification with Guided Cropping—0
ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World DataCode1
Meta-ZSDETR: Zero-shot DETR with Meta-learning—0
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