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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 2650 of 57 papers

TitleStatusHype
Polarity Loss for Zero-shot Object DetectionCode1
Resolving Semantic Confusions for Improved Zero-Shot DetectionCode1
Robust Region Feature Synthesizer for Zero-Shot Object DetectionCode1
SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food DetectionCode1
Background Learnable Cascade for Zero-Shot Object DetectionCode1
Scaling Open-Vocabulary Object DetectionCode0
Towards a Multi-Agent Vision-Language System for Zero-Shot Novel Hazardous Object Detection for Autonomous Driving SafetyCode0
From Node to Graph: Joint Reasoning on Visual-Semantic Relational Graph for Zero-Shot DetectionCode0
Efficient Feature Distillation for Zero-shot Annotation Object DetectionCode0
GTNet: Generative Transfer Network for Zero-Shot Object DetectionCode0
No Annotations for Object Detection in Art through Stable DiffusionCode0
Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel ConceptsCode0
Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D ObjectsCode0
Synthesizing Knowledge-enhanced Features for Real-world Zero-shot Food DetectionCode0
Zero-shot detection of daily objects in YCB video dataset0
CP-DETR: Concept Prompt Guide DETR Toward Stronger Universal Object Detection0
Eating Smart: Advancing Health Informatics with the Grounding DINO based Dietary Assistant App0
Finding the Reflection Point: Unpadding Images to Remove Data Augmentation Artifacts in Large Open Source Image Datasets for Machine Learning0
Frustratingly Simple but Effective Zero-shot Detection and Segmentation: Analysis and a Strong Baseline0
Image Captioning with Unseen Objects0
Meta-ZSDETR: Zero-shot DETR with Meta-learning0
Multimodal Data Curation via Object Detection and Filter Ensembles0
Multi-Modal Few-Shot Object Detection with Meta-Learning-Based Cross-Modal Prompting0
On Hyperbolic Embeddings in 2D Object Detection0
Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO0
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