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 101–125 of 145 papers

TitleStatusHype
Fine-Grained Open-Vocabulary Object Detection with Fined-Grained Prompts: Task, Dataset and Benchmark—0
From Data to Modeling: Fully Open-vocabulary Scene Graph Generation—0
Gen-n-Val: Agentic Image Data Generation and Validation—0
HA-FGOVD: Highlighting Fine-grained Attributes via Explicit Linear Composition for Open-Vocabulary Object Detection—0
Open-Vocabulary Object Detectors: Robustness Challenges under Distribution Shifts—0
LCV2: An Efficient Pretraining-Free Framework for Grounded Visual Question Answering—0
Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection—0
Learning Pseudo-Labeler beyond Noun Concepts for Open-Vocabulary Object Detection—0
Learning the RoPEs: Better 2D and 3D Position Encodings with STRING—0
Learning to Detect and Segment for Open Vocabulary Object Detection—0
LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors—0
LUDVIG: Learning-free Uplifting of 2D Visual features to Gaussian Splatting scenes—0
Modulating CNN Features with Pre-Trained ViT Representations for Open-Vocabulary Object Detection—0
MQADet: A Plug-and-Play Paradigm for Enhancing Open-Vocabulary Object Detection via Multimodal Question Answering—0
On the Potential of Open-Vocabulary Models for Object Detection in Unusual Street Scenes—0
OpenRSD: Towards Open-prompts for Object Detection in Remote Sensing Images—0
Open-Vocabulary Object Detection using Pseudo Caption Labels—0
Open-Vocabulary Object Detection via Neighboring Region Attention Alignment—0
Open-Vocabulary Object Detection via Language Hierarchy—0
Open-Vocabulary Object Detection With an Open Corpus—0
Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization—0
Open-Vocabulary X-ray Prohibited Item Detection via Fine-tuning CLIP—0
Open-World Objectness Modeling Unifies Novel Object Detection—0
Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection—0
Prompt-Guided Transformers for End-to-End Open-Vocabulary Object Detection—0
Show:102550
← PrevPage 5 of 6Next →
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