https://github.com/lzw-lzw/awesome-remote-sensing-vision-language-models
Vision-Language Models in Remote Sensing: Current Progress and Future Trends
Papers with Code 아카이브
Scene Classification
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Scene Classification is a task in which scenes from photographs are categorically classified. Unlike object classification, which focuses on classifying prominent objects in the foreground, Scene Classification uses the layout of objects within the scene, in addition to the ambient context, for classification.
Source: Scene classification with Convolutional Neural Networks
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/mathworks/Baseline-MATLAB-DCASE
https://github.com/minyoungg/wmigftl
https://github.com/monjurulkarim/vehicle_distance
https://github.com/numpde/phonepad
Classifying Variable-Length Audio Files with All-Convolutional Networks and Masked Global Pooling
https://github.com/rijulgupta-dm/deepfake-satellite-images
On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances and Million-AID
https://github.com/tbayetird/audio_environment_description
A Simple Fusion of Deep and Shallow Learning for Acoustic Scene Classification
https://github.com/techmn/satmae_pp
Remote Sensing Image Scene Classification: Benchmark and State of the Art
https://github.com/tom-tym/apg
Remote Sensing Image Scene Classification: Benchmark and State of the Art
https://github.com/yagyapandeya/CNN-with-Few-Data-VGGish-
https://github.com/yuchuang1205/rrl-net
https://github.com/zhu-xlab/dino-mm
Decoupling Common and Unique Representations for Multimodal Self-supervised Learning
https://github.com/zwenyu/UniSSDA
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.