SOTAVerified

Open Vocabulary Object Detection

Open-vocabulary detection (OVD) aims to generalize beyond the limited number of base classes labeled during the training phase. The goal is to detect novel classes defined by an unbounded (open) vocabulary at inference.

Papers

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Showing 1–50 of 145 papers

TitleStatusHype
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language ModelCode9
YOLO-World: Real-Time Open-Vocabulary Object DetectionCode9
Visual-RFT: Visual Reinforcement Fine-TuningCode7
Real-time Transformer-based Open-Vocabulary Detection with Efficient Fusion HeadCode5
FG-CLIP: Fine-Grained Visual and Textual AlignmentCode4
Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive ReinforcementCode4
GLIPv2: Unifying Localization and Vision-Language UnderstandingCode4
OmDet: Large-scale vision-language multi-dataset pre-training with multimodal detection networkCode3
OVLW-DETR: Open-Vocabulary Light-Weighted Detection TransformerCode3
Detecting Twenty-thousand Classes using Image-level SupervisionCode3
Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing CommunityCode3
Open Vocabulary Monocular 3D Object DetectionCode2
OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance SegmentationCode2
Open-Vocabulary DETR with Conditional MatchingCode2
Is CLIP the main roadblock for fine-grained open-world perception?Code2
Detect Everything with Few ExamplesCode2
Mamba-YOLO-World: Marrying YOLO-World with Mamba for Open-Vocabulary DetectionCode2
Generative Region-Language Pretraining for Open-Ended Object DetectionCode2
YOLOv8-AM: YOLOv8 Based on Effective Attention Mechanisms for Pediatric Wrist Fracture DetectionCode2
CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense PredictionCode2
SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object DetectionCode2
Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionCode2
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world LearningCode2
LaMI-DETR: Open-Vocabulary Detection with Language Model InstructionCode2
Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object DetectorCode2
Open Vocabulary Object Detection with Proposal Mining and Prediction EqualizationCode1
DST-Det: Simple Dynamic Self-Training for Open-Vocabulary Object DetectionCode1
Open-Vocabulary One-Stage Detection with Hierarchical Visual-Language Knowledge DistillationCode1
CORA: Adapting CLIP for Open-Vocabulary Detection with Region Prompting and Anchor Pre-MatchingCode1
Open-Vocabulary Object Detection Using CaptionsCode1
Comprehensive Multi-Modal Prototypes are Simple and Effective Classifiers for Vast-Vocabulary Object DetectionCode1
Distilling DETR with Visual-Linguistic Knowledge for Open-Vocabulary Object DetectionCode1
A Hierarchical Semantic Distillation Framework for Open-Vocabulary Object DetectionCode1
GroundVLP: Harnessing Zero-shot Visual Grounding from Vision-Language Pre-training and Open-Vocabulary Object DetectionCode1
Open-vocabulary Attribute DetectionCode1
OvarNet: Towards Open-vocabulary Object Attribute RecognitionCode1
MoCaE: Mixture of Calibrated Experts Significantly Improves Object DetectionCode1
Meta-Adapter: An Online Few-shot Learner for Vision-Language ModelCode1
Multi-Modal Classifiers for Open-Vocabulary Object DetectionCode1
From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel ObjectsCode1
CLIM: Contrastive Language-Image Mosaic for Region RepresentationCode1
LP-OVOD: Open-Vocabulary Object Detection by Linear ProbingCode1
Taming Self-Training for Open-Vocabulary Object DetectionCode1
MarvelOVD: Marrying Object Recognition and Vision-Language Models for Robust Open-Vocabulary Object DetectionCode1
Described Object Detection: Liberating Object Detection with Flexible ExpressionsCode1
Object-Aware Distillation Pyramid for Open-Vocabulary Object DetectionCode1
Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher LearningCode1
Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language ModelCode1
CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object DetectionCode1
Learning Object-Language Alignments for Open-Vocabulary Object DetectionCode1
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All datasetsMSCOCOLVIS v1.0Objects365OpenImages-v4

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Cooperative Foundational ModelsAP 0.550.3—Unverified
2DE-ViTAP 0.550—Unverified
3Yolov8-nanoAP 0.547.2—Unverified
4DITOAP 0.546.1—Unverified
5OV-DQUO(RN50x4)AP 0.545.6—Unverified
6LP-OVOD (OWL-ViT Proposals)AP 0.544.9—Unverified
7CLIPSelfAP 0.544.3—Unverified
8CORA+AP 0.543.1—Unverified
9BARONAP 0.542.7—Unverified
10SIA-OVD (RN50x4)AP 0.541.9—Unverified
#ModelMetricClaimedVerifiedStatus
1LaMI-DETRAP novel-LVIS base training43.4—Unverified
2DITOAP novel-LVIS base training40.4—Unverified
3OV-DQUO(ViT-L/14)AP novel-LVIS base training39.3—Unverified
4CoDet (EVA02-L)AP novel-LVIS base training37—Unverified
5CLIPSelfAP novel-LVIS base training34.9—Unverified
6OVMRAP novel-LVIS base training34.4—Unverified
7DE-ViTAP novel-LVIS base training34.3—Unverified
8CFM-ViTAP novel-LVIS base training33.9—Unverified
9CLIM (RN50x64)AP novel-LVIS base training32.3—Unverified
10RO-ViTAP novel-LVIS base training32.1—Unverified
#ModelMetricClaimedVerifiedStatus
1Object-Centric-OVDmask AP5022.3—Unverified
2ViLDmask AP5018.2—Unverified
#ModelMetricClaimedVerifiedStatus
1Object-Centric-OVDmask AP5042.9—Unverified
2Deticmask AP5042.2—Unverified