output
20052026
most citedDeep Learning for Classification of Hyperspectral Data: A Comparative Review

687 citations

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11 papers · 1 filter

cs.CV202611 cited

Online Handwriting Trajectory Reconstruction from Kinematic Sensors using Temporal Convolutional Network

Wassim Swaileh, Florent Imbert, Yann Soullard +2

Handwriting with digital pens is a common way to facilitate human-computer interaction through the use of Online Handwriting (OH) trajectory reconstruction. In this work, we focus…

cs.CV2025

Improving Multimodal Distillation for 3D Semantic Segmentation under Domain Shift

Björn Michele, Alexandre Boulch, Gilles Puy +3

Semantic segmentation networks trained under full supervision for one type of lidar fail to generalize to unseen lidars without intervention. To reduce the performance gap under do…

cs.CV2024

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning

Hoàng-Ân Lê, Paul Berg, Minh-Tan Pham

Object detection and semantic segmentation are both scene understanding tasks yet they differ in data structure and information level. Object detection requires box coordinates for…

cs.CV20242 cited

Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series

Aimi Okabayashi, Nicolas Audebert, Simon Donike +1

Satellite imaging generally presents a trade-off between the frequency of acquisitions and the spatial resolution of the images. Super-resolution is often advanced as a way to get…

cs.CV20232 cited

Data exploitation: multi-task learning of object detection and semantic segmentation on partially annotated data

Hoàng-Ân Lê, Minh-Tan Pham

Multi-task partially annotated data where each data point is annotated for only a single task are potentially helpful for data scarcity if a network can leverage the inter-task rel…

cs.CV2023

Burnt area extraction from high-resolution satellite images based on anomaly detection

Oscar David Rafael Narvaez Luces, Minh-Tan Pham, Quentin Poterek +1

Wildfire detection using satellite images is a widely studied task in remote sensing with many applications to fire delineation and mapping. Recently, deep learning methods have be…