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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 145 papers

TitleStatusHype
Open-Vocabulary One-Stage Detection with Hierarchical Visual-Language Knowledge DistillationCode1
RegionCLIP: Region-based Language-Image PretrainingCode1
PointCLIP: Point Cloud Understanding by CLIPCode1
Open Vocabulary Object Detection with Pseudo Bounding-Box LabelsCode1
Open-vocabulary Object Detection via Vision and Language Knowledge DistillationCode1
Open-Vocabulary Object Detection Using CaptionsCode1
ATAS: Any-to-Any Self-Distillation for Enhanced Open-Vocabulary Dense Prediction—0
Gen-n-Val: Agentic Image Data Generation and Validation—0
From Data to Modeling: Fully Open-vocabulary Scene Graph Generation—0
An Iterative Feedback Mechanism for Improving Natural Language Class Descriptions in Open-Vocabulary Object Detection—0
Fine-Grained Open-Vocabulary Object Detection with Fined-Grained Prompts: Task, Dataset and Benchmark—0
LED: LLM Enhanced Open-Vocabulary Object Detection without Human Curated Data GenerationCode0
Cyclic Contrastive Knowledge Transfer for Open-Vocabulary Object DetectionCode0
DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection—0
OpenRSD: Towards Open-prompts for Object Detection in Remote Sensing Images—0
MQADet: A Plug-and-Play Paradigm for Enhancing Open-Vocabulary Object Detection via Multimodal Question Answering—0
Learning the RoPEs: Better 2D and 3D Position Encodings with STRING—0
Modulating CNN Features with Pre-Trained ViT Representations for Open-Vocabulary Object Detection—0
Open-World Objectness Modeling Unifies Novel Object Detection—0
Sampling Bag of Views for Open-Vocabulary Object Detection—0
DenseVLM: A Retrieval and Decoupled Alignment Framework for Open-Vocabulary Dense Prediction—0
Fine-Grained Open-Vocabulary Object Recognition via User-Guided Segmentation—0
An Application-Agnostic Automatic Target Recognition System Using Vision Language Models—0
Open-Vocabulary Object Detection via Language Hierarchy—0
Few-shot target-driven instance detection based on open-vocabulary object detection models—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