Mitigating representation bias caused by missing pixels in methane plume detection

Documenti analoghi

• Explainable Comparison of Feature-Based and Deep Learning Models for TROPOMI Methane Plume Screening
  di: Kurchaba, Solomiia, et al.
  Pubblicazione: (2026)
• Rethinking Evaluation Paradigms in IBP-based Certified Training
  di: Kaulen, Konstantin, et al.
  Pubblicazione: (2026)
• Exploring PCA-based feature representations of image pixels via CNN to enhance food image segmentation
  di: Dai, Ying
  Pubblicazione: (2024)
• Reducing false positives in strong lens detection through effective augmentation and ensemble learning
  di: Rezaei, Samira, et al.
  Pubblicazione: (2025)
• Hardware-Aware Feature Extraction Quantisation for Real-Time Visual Odometry on FPGA Platforms
  di: Wasala, Mateusz, et al.
  Pubblicazione: (2025)