8 papers · 1 filter
Voxel-based 3D Facies Segmentation from Seismic Data: A Comparative Study
Duc-Thanh Pham, Minh-Tan Pham, Anh Nguyen +1
Seismic facies segmentation has emerged as a significant challenge in geophysics, requiring robust methods and systems to effectively identify geologically analogous facies with li…
ISRS-DETR: Detection-Guided Click Propagation for Remote Sensing Interactive Segmentation
Thanh Duc Pham, Anh Nguyen, Duong Duc Hieu +1
Interactive segmentation reduces the prohibitive cost of pixel-level annotation by allowing users to delineate objects with a few clicks. However, applying this paradigm directly t…
GarmentSketch: Large-scale Sketch-to-Fashion Benchmark
Duong-Duy-Khang Bui, Minh-Tan Pham, Tam V. Nguyen +2
Fashion sketching is a cornerstone of design workflows, allowing rapid visualization of creative concepts prior to physical prototyping. Yet, progress in sketch-based fashion image…
SIGMA: A Physics-Based Benchmark for Gas Chimney Understanding in Seismic Images
Bao Truong, Quang Nguyen, Baoru Huang +6
Seismic images reconstruct subsurface reflectivity from field recordings, guiding exploration and reservoir monitoring. Gas chimneys are vertical anomalies caused by subsurface flu…
EoS-FM: Can an Ensemble of Specialist Models act as a Generalist Feature Extractor?
Pierre Adorni, Minh-Tan Pham, Stéphane May +1
Recent advances in foundation models have shown great promise in domains such as natural language processing and computer vision, and similar efforts are now emerging in the Earth…
Towards Efficient Benchmarking of Foundation Models in Remote Sensing: A Capabilities Encoding Approach
Pierre Adorni, Minh-Tan Pham, Stéphane May +1
Foundation models constitute a significant advancement in computer vision: after a single, albeit costly, training phase, they can address a wide array of tasks. In the field of Ea…
Mapping earth mounds from space
Baki Uzun, Shivam Pande, Gwendal Cachin-Bernard +4
Regular patterns of vegetation are considered widespread landscapes, although their global extent has never been estimated. Among them, spotted landscapes are of particular interes…
Plant detection from ultra high resolution remote sensing images: A Semantic Segmentation approach based on fuzzy loss
Shivam Pande, Baki Uzun, Florent Guiotte +3
In this study, we tackle the challenge of identifying plant species from ultra high resolution (UHR) remote sensing images. Our approach involves introducing an RGB remote sensing…