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.

Datasets


Most implemented papers

Class-agnostic Object Detection with Multi-modal Transformer

mmaaz60/mvits_for_class_agnostic_od 22 Nov 2021

This has been a long-standing question in computer vision.

MOVE: Unsupervised Movable Object Segmentation and Detection

adambielski/move-seg 14 Oct 2022

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

autonomousvision/good 22 Dec 2022

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

hatins/deoe 8 Apr 2024

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

jason-lim26/dipex 21 Jun 2024

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.