Papers Class-agnostic Object Detection
“Class-agnostic Object Detection” 태그가 달린 논문 9편 · 필터 해제
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
Class-agnostic object detection (OD) can be a cornerstone or a bottleneck for many downstream vision tasks. Despite considerable advancements in bottom-up and multi-object discovery methods that leverage basic visual cue…
Class-agnostic Object DetectionMulti-object discoveryObjectobject-detection+3Detecting 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). Existing studies on CA…
Autonomous DrivingClass-agnostic Object DetectionEvent-based visionObject+4Self-Supervised Object Detection from Egocentric Videos
Understanding the visual world from the perspective of humans (egocentric) has been a long-standing challenge in computer vision. Egocentric videos exhibit high scene complexity and irregular motion flows compared to…
Class-agnostic Object DetectionObjectobject-detectionObject Detection+2GOOD: 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. State-of-the-art RGB-based models suffer from overfitt…
Class-agnostic Object DetectionObjectobject-detectionObject Detection+1Image Segmentation-based Unsupervised Multiple Objects Discovery
Unsupervised object discovery aims to localize objects in images, while removing the dependence on annotations required by most deep learning-based methods. To address this problem, we propose a fully unsupervised, botto…
Class-agnostic Object DetectionImage SegmentationObjectobject-detection+4MOVE: Unsupervised Movable Object Segmentation and Detection
We introduce MOVE, a novel method to segment objects without any form of supervision. MOVE exploits the fact that foreground objects can be shifted locally relative to their initial position and result in realistic (undi…
Class-agnostic Object DetectionObjectobject-detectionObject Detection+7Class-agnostic Object Detection with Multi-modal Transformer
What constitutes an object? This has been a long-standing question in computer vision. Towards this goal, numerous learning-free and learning-based approaches have been developed to score objectness. However, they genera…
Class-agnostic Object DetectionObjectobject-detectionObject Detection+2Semi Supervised Deep Quick Instance Detection and Segmentation
In this paper, we present a semi supervised deep quick learning framework for instance detection and pixel-wise semantic segmentation of images in a dense clutter of items. The framework can quickly and incrementally lea…
ARCClass-agnostic Object Detectionobject-detectionObject Detection+1Class-agnostic Object Detection
Object detection models perform well at localizing and classifying objects that they are shown during training. However, due to the difficulty and cost associated with creating and annotating detection datasets, trained …
BenchmarkingClass-agnostic Object DetectionImage ClassificationObject+5