[PDF][PDF] Appearance-based refinement for object-centric motion segmentation
The goal of this paper is to discover, segment, and track independently moving objects in
complex visual scenes. Previous approaches have explored the use of optical flow for …
complex visual scenes. Previous approaches have explored the use of optical flow for …
Moving Object Detection in Freely Moving Camera via Global Motion Compensation and Local Spatial Information Fusion
Z Chen, R Zhao, X Guo, J Xie, X Han - Sensors, 2024 - mdpi.com
Motion object detection (MOD) with freely moving cameras is a challenging task in computer
vision. To extract moving objects, most studies have focused on the difference in motion …
vision. To extract moving objects, most studies have focused on the difference in motion …
In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation
We present lazy visual grounding, a two-stage approach of unsupervised object mask
discovery followed by object grounding, for open-vocabulary semantic segmentation. Plenty …
discovery followed by object grounding, for open-vocabulary semantic segmentation. Plenty …
Deep Spectral Improvement for Unsupervised Image Instance Segmentation
Deep spectral methods reframe the image decomposition process as a graph partitioning
task by extracting features using self-supervised learning and utilizing the Laplacian of the …
task by extracting features using self-supervised learning and utilizing the Laplacian of the …
Divided Attention: Unsupervised Multiple-object Discovery and Segmentation with Interpretable Contextually Separated Slots
We introduce a method to segment the visual field into independently moving regions in real-
time, trained without ground truth or supervision, needing neither pre-trained image features …
time, trained without ground truth or supervision, needing neither pre-trained image features …