Class-agnostic Object Detection
5 papers with code • 0 benchmarks • 1 datasets
Class-agnostic object detection aims to localize objects in images without specifying their categories.
Benchmarks
These leaderboards are used to track progress in Class-agnostic Object Detection
Most implemented papers
Class-agnostic Object Detection with Multi-modal Transformer
This has been a long-standing question in computer vision.
MOVE: Unsupervised Movable Object Segmentation and Detection
We introduce MOVE, a novel method to segment objects without any form of supervision.
GOOD: Exploring Geometric Cues for Detecting Objects in an Open World
We address the task of open-world class-agnostic object detection, i. e., detecting every object in an image by learning from a limited number of base object classes.
Detecting Every Object from Events
Object detection is critical in autonomous driving, and it is more practical yet challenging to localize objects of unknown categories: an endeavour known as Class-Agnostic Object Detection (CAOD).
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
We demonstrate the effectiveness of DiPEx through extensive class-agnostic OD and OOD-OD experiments on MS-COCO and LVIS, surpassing other prompting methods by up to 20. 1% in AR and achieving a 21. 3% AP improvement over SAM.