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Open Vocabulary Object Detection
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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.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Gen-n-Val: Agentic Image Data Generation and Validation
From Data to Modeling: Fully Open-vocabulary Scene Graph Generation
FG-CLIP: Fine-Grained Visual and Textual Alignment
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Superpowering Open-Vocabulary Object Detectors for X-ray Vision
An Iterative Feedback Mechanism for Improving Natural Language Class Descriptions in Open-Vocabulary Object Detection
Fine-Grained Open-Vocabulary Object Detection with Fined-Grained Prompts: Task, Dataset and Benchmark
LED: LLM Enhanced Open-Vocabulary Object Detection without Human Curated Data Generation
Cyclic Contrastive Knowledge Transfer for Open-Vocabulary Object Detection
A Hierarchical Semantic Distillation Framework for Open-Vocabulary Object Detection
DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection
Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement
OpenRSD: Towards Open-prompts for Object Detection in Remote Sensing Images
Visual-RFT: Visual Reinforcement Fine-Tuning
MQADet: A Plug-and-Play Paradigm for Enhancing Open-Vocabulary Object Detection via Multimodal Question Answering
Learning the RoPEs: Better 2D and 3D Position Encodings with STRING
Modulating CNN Features with Pre-Trained ViT Representations for Open-Vocabulary Object Detection
Sampling Bag of Views for Open-Vocabulary Object Detection
Comprehensive Multi-Modal Prototypes are Simple and Effective Classifiers for Vast-Vocabulary Object Detection
DenseVLM: A Retrieval and Decoupled Alignment Framework for Open-Vocabulary Dense Prediction
From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel Objects
Open Vocabulary Monocular 3D Object Detection
Fine-Grained Open-Vocabulary Object Recognition via User-Guided Segmentation
An Application-Agnostic Automatic Target Recognition System Using Vision Language Models
Open-Vocabulary Object Detection via Language Hierarchy
OVT-B: A New Large-Scale Benchmark for Open-Vocabulary Multi-Object Tracking
Few-shot target-driven instance detection based on open-vocabulary object detection models
Open-vocabulary vs. Closed-set: Best Practice for Few-shot Object Detection Considering Text Describability
LUDVIG: Learning-free Uplifting of 2D Visual features to Gaussian Splatting scenes
VOVTrack: Exploring the Potentiality in Videos for Open-Vocabulary Object Tracking
Boosting Open-Vocabulary Object Detection by Handling Background Samples
SIA-OVD: Shape-Invariant Adapter for Bridging the Image-Region Gap in Open-Vocabulary Detection
Search and Detect: Training-Free Long Tail Object Detection via Web-Image Retrieval
HA-FGOVD: Highlighting Fine-grained Attributes via Explicit Linear Composition for Open-Vocabulary Object Detection
End-to-end Open-vocabulary Video Visual Relationship Detection using Multi-modal Prompting
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