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 51–100 of 145 papers

TitleStatusHype
PointCLIP: Point Cloud Understanding by CLIPCode1
ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object DetectionCode1
Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision TransformersCode1
RegionCLIP: Region-based Language-Image PretrainingCode1
Retrieval-Augmented Open-Vocabulary Object DetectionCode1
RTGen: Generating Region-Text Pairs for Open-Vocabulary Object DetectionCode1
CLIM: Contrastive Language-Image Mosaic for Region RepresentationCode1
SIA-OVD: Shape-Invariant Adapter for Bridging the Image-Region Gap in Open-Vocabulary DetectionCode1
Simple Image-level Classification Improves Open-vocabulary Object DetectionCode1
Superpowering Open-Vocabulary Object Detectors for X-ray VisionCode1
The devil is in the fine-grained details: Evaluating open-vocabulary object detectors for fine-grained understandingCode1
The devil is in the object boundary: towards annotation-free instance segmentation using Foundation ModelsCode1
Open Vocabulary Object Detection with Pseudo Bounding-Box LabelsCode1
Training-free Boost for Open-Vocabulary Object Detection with Confidence AggregationCode1
MoCaE: Mixture of Calibrated Experts Significantly Improves Object DetectionCode1
Enhancing Novel Object Detection via Cooperative Foundational ModelsCode1
CORA: Adapting CLIP for Open-Vocabulary Detection with Region Prompting and Anchor Pre-MatchingCode1
Multi-Modal Classifiers for Open-Vocabulary Object DetectionCode1
Object-Aware Distillation Pyramid for Open-Vocabulary Object DetectionCode1
Expanding Scene Graph Boundaries: Fully Open-vocabulary Scene Graph Generation via Visual-Concept Alignment and RetentionCode1
Exploiting Unlabeled Data with Vision and Language Models for Object DetectionCode1
Open-vocabulary Attribute DetectionCode1
Open-Vocabulary Object Detection Using CaptionsCode1
DART: An Automated End-to-End Object Detection Pipeline with Data Diversification, Open-Vocabulary Bounding Box Annotation, Pseudo-Label Review, and Model TrainingCode1
A Hierarchical Semantic Distillation Framework for Open-Vocabulary Object DetectionCode1
Comprehensive Multi-Modal Prototypes are Simple and Effective Classifiers for Vast-Vocabulary Object DetectionCode1
Localized Vision-Language Matching for Open-vocabulary Object DetectionCode1
LP-OVOD: Open-Vocabulary Object Detection by Linear ProbingCode1
Aligning Bag of Regions for Open-Vocabulary Object DetectionCode1
MarvelOVD: Marrying Object Recognition and Vision-Language Models for Robust Open-Vocabulary Object DetectionCode1
Meta-Adapter: An Online Few-shot Learner for Vision-Language ModelCode1
A Lightweight Modular Framework for Low-Cost Open-Vocabulary Object Detection TrainingCode0
F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language ModelsCode0
Cyclic Contrastive Knowledge Transfer for Open-Vocabulary Object DetectionCode0
LED: LLM Enhanced Open-Vocabulary Object Detection without Human Curated Data GenerationCode0
Scaling Open-Vocabulary Object DetectionCode0
Generating Enhanced Negatives for Training Language-Based Object DetectorsCode0
Region-centric Image-Language Pretraining for Open-Vocabulary DetectionCode0
MaMMUT: A Simple Architecture for Joint Learning for MultiModal TasksCode0
Unconstrained Open Vocabulary Image Classification: Zero-Shot Transfer from Text to Image via CLIP InversionCode0
Open-vocabulary vs. Closed-set: Best Practice for Few-shot Object Detection Considering Text DescribabilityCode0
Simple Open-Vocabulary Object Detection with Vision TransformersCode0
Open-Vocabulary Object Detection via Scene Graph Discovery—0
An Application-Agnostic Automatic Target Recognition System Using Vision Language Models—0
An Iterative Feedback Mechanism for Improving Natural Language Class Descriptions in Open-Vocabulary Object Detection—0
ATAS: Any-to-Any Self-Distillation for Enhanced Open-Vocabulary Dense Prediction—0
BACON: Improving Clarity of Image Captions via Bag-of-Concept Graphs—0
Boosting Open-Vocabulary Object Detection by Handling Background Samples—0
Contrastive Feature Masking Open-Vocabulary Vision Transformer—0
DenseVLM: A Retrieval and Decoupled Alignment Framework for Open-Vocabulary Dense Prediction—0
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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