1 citations · 1 across the 4 of their papers we have counts for
4 papers
xMOD: Cross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D motion
Saad Lahlali, Sandra Kara, Hejer Ammar +4
Object discovery, which refers to the task of localizing objects without human annotations, has gained significant attention in 2D image analysis. However, despite this growing int…
GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation
Florian Chabot, Nicolas Granger, Guillaume Lapouge
The Bird's-eye View (BeV) representation is widely used for 3D perception from multi-view camera images. It allows to merge features from different cameras into a common space, pro…
Smooth Pseudo-Labeling
Nikolaos Karaliolios, Hervé Le Borgne, Florian Chabot
Semi-Supervised Learning (SSL) seeks to leverage large amounts of non-annotated data along with the smallest amount possible of annotated data in order to achieve the same level of…
The Background Also Matters: Background-Aware Motion-Guided Objects Discovery
Sandra Kara, Hejer Ammar, Florian Chabot +1
Recent works have shown that objects discovery can largely benefit from the inherent motion information in video data. However, these methods lack a proper background processing, r…