Class-agnostic Object Detection
4 papers with code • 5 benchmarks • 5 datasets
Class-agnostic object detection aims to localize objects in images without specifying their categories.
MS COCO
KITTI
PASCAL VOC
Comic2k
Kitchen Scenes
Most implemented papers
Detecting Every Object from Events
hatins/deoe
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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).
Class-agnostic Object Detection with Multi-modal Transformer
mmaaz60/mvits_for_class_agnostic_od
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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.
