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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

Showing 1120 of 57 papers

TitleStatusHype
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 DINO0
Eating Smart: Advancing Health Informatics with the Grounding DINO based Dietary Assistant App0
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
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