https://github.com/AIS-Clemson/FLAME_SD
공식 코드FLAME Diffuser: Wildfire Image Synthesis using Mask Guided Diffusion
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Detection of fire using multi-variate time series sensor data.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
FLAME Diffuser: Wildfire Image Synthesis using Mask Guided Diffusion
Aerial Imagery Pile burn detection using Deep Learning: the FLAME dataset
Modelling wildland fire burn severity in California using a spatial Super Learner approach
SIAVC: Semi-Supervised Framework for Industrial Accident Video Classification
FireNet: A Specialized Lightweight Fire & Smoke Detection Model for Real-Time IoT Applications
Rapid Deforestation and Burned Area Detection using Deep Multimodal Learning on Satellite Imagery
Comparing Next-Day Wildfire Predictability of MODIS and VIIRS Satellite Data
ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color Segmentation
Active Fire Detection in Landsat-8 Imagery: a Large-Scale Dataset and a Deep-Learning Study
MFGDiffusion: Mask-Guided Smoke Synthesis for Enhanced Forest Fire Detection
TS-SatFire: A Multi-Task Satellite Image Time-Series Dataset for Wildfire Detection and Prediction
BoWFire: Detection of Fire in Still Images by Integrating Pixel Color and Texture Analysis
FireNet: A Specialized Lightweight Fire & Smoke Detection Model for Real-Time IoT Applications
FireNet: A Specialized Lightweight Fire & Smoke Detection Model for Real-Time IoT Applications
BoWFire: Detection of Fire in Still Images by Integrating Pixel Color and Texture Analysis
BoWFire: Detection of Fire in Still Images by Integrating Pixel Color and Texture Analysis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.