Data to 14 Oct 2026

Dont Even Look Once: Synthesizing Features for Zero-Shot Detection

arXiv 1911.07933 ↗First posted 18 Nov 2019cs.CVcited by 58

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Abstract (arXiv)

Zero-shot detection, namely, localizing both seen and unseen objects, increasingly gains importance for large-scale applications, with large number of object classes, since, collecting sufficient annotated data with ground truth bounding boxes is simply not scalable. While vanilla deep neural networks deliver high performance for objects available during training, unseen object detection degrades significantly. At a fundamental level, while vanilla detectors are capable of proposing bounding boxes, which include unseen objects, they are often incapable of assigning high-confidence to unseen objects, due to the inherent precision/recall tradeoffs that requires rejecting background objects. We propose a novel detection algorithm Dont Even Look Once (DELO), that synthesizes visual features for unseen objects and augments existing training algorithms to incorporate unseen object detection. Our proposed scheme is evaluated on Pascal VOC and MSCOCO, and we demonstrate significant improvements in test accuracy over vanilla and other state-of-art zero-shot detectors

Key facts. Cited by 58 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Nov 2019.

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Citing papers per year: 2021: 11; 2022: 14; 2023: 22; 2024: 6; 2025: 4; 2026: 1.

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2021Grounded Language-Image Pre-trainingcited by 1,156
2021Open-vocabulary Object Detection via Vision and Language Knowledge Distillationcited by 906
2021RegionCLIP: Region-based Language-Image Pretrainingcited by 616
2022Detecting Twenty-thousand Classes using Image-level Supervisioncited by 614
2022GLIPv2: Unifying Localization and Vision-Language Understandingcited by 275
2022Open-Vocabulary DETR with Conditional Matchingcited by 220
2022F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Modelscited by 150
2022Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detectioncited by 146
2022Exploiting Unlabeled Data with Vision and Language Models for Object Detectioncited by 97
2023Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformerscited by 91
2021Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labelingcited by 84
2021Open Vocabulary Object Detection with Pseudo Bounding-Box Labelscited by 71

38 more

2022Open-Vocabulary One-Stage Detection with Hierarchical Visual-Language Knowledge Distillationcited by 68
2022Fine-Grained Semantically Aligned Vision-Language Pre-Trainingcited by 68
2023Object-Aware Distillation Pyramid for Open-Vocabulary Object Detectioncited by 63
2023Detecting Everything in the Open World: Towards Universal Object Detectioncited by 62
2023A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Futurecited by 61
2023CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detectioncited by 46
2021Zero-Shot Instance Segmentationcited by 40
2023Contrastive Feature Masking Open-Vocabulary Vision Transformercited by 31
2023LP-OVOD: Open-Vocabulary Object Detection by Linear Probingcited by 29
2023Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentationcited by 28
2021Semantics-Guided Contrastive Network for Zero-Shot Object detectioncited by 26
2023Taming Self-Training for Open-Vocabulary Object Detectioncited by 25
2022Learning to Detect and Segment for Open Vocabulary Object Detectioncited by 22
2023Generating Features with Increased Crop-related Diversity for Few-Shot Object Detectioncited by 21
2022Robust Region Feature Synthesizer for Zero-Shot Object Detectioncited by 20
2024LaMI-DETR: Open-Vocabulary Detection with Language Model Instructioncited by 19
2022Localized Vision-Language Matching for Open-vocabulary Object Detectioncited by 17
2023Mask-free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotationscited by 16
2023Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentationcited by 16
2022Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detectioncited by 14
2024Object Detectors in the Open Environment: Challenges, Solutions, and Outlookcited by 13
2023Weakly Supervised Open-Vocabulary Object Detectioncited by 11
2024Unseen No More: Unlocking the Potential of CLIP for Generative Zero-shot HOI Detectioncited by 11
2023World-to-Words: Grounded Open Vocabulary Acquisition through Fast Mapping in Vision-Language Modelscited by 10
2024Zero-Shot Aerial Object Detection with Visual Description Regularizationcited by 10
2021Zero-shot Object Detection Through Vision-Language Embedding Alignmentcited by 8
2025Fine-Grained Zero-Shot Object Detectioncited by 8
2025AquaticCLIP: A Vision-Language Foundation Model for Underwater Scene Analysiscited by 7
2021A Survey of Deep Learning for Low-Shot Object Detectioncited by 6
2022Open-Vocabulary Temporal Action Detection with Off-the-Shelf Image-Text Featurescited by 6
2023SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food Detectioncited by 6
2023Frustratingly Simple but Effective Zero-shot Detection and Segmentation: Analysis and a Strong Baselinecited by 5
2023Balanced Classification: A Unified Framework for Long-Tailed Object Detectioncited by 5
2021Bridging Gap between Image Pixels and Semantics via Supervision: A Surveycited by 4
2024Synthesizing Knowledge-enhanced Features for Real-world Zero-shot Food Detectioncited by 3
2024AssemAI: Interpretable Image-Based Anomaly Detection for Manufacturing Pipelinescited by 3
2025A Decade of You Only Look Once (YOLO) for Object Detection: A Reviewcited by 3
2022Resolving Semantic Confusions for Improved Zero-Shot Detectioncited by 2

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