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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/mbzuai-oryx/geochat
공식 코드GeoChat: Grounded Large Vision-Language Model for Remote Sensing
https://github.com/mihawkhu/asc_knowledge_transfer
공식 코드A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge Transfer
https://github.com/mililab/roma
공식 코드RoMA: Scaling up Mamba-based Foundation Models for Remote Sensing
https://github.com/mit-spark/llm_scene_understanding
공식 코드Leveraging Large (Visual) Language Models for Robot 3D Scene Understanding
https://github.com/moeinsorkhei/apla
공식 코드https://github.com/monjurulkarim/Crash_road_function_dataset
공식 코드https://github.com/ndraeger/waba
공식 코드Backdoor Attacks for Remote Sensing Data with Wavelet Transform
https://github.com/opendatalab/h2rsvlm
공식 코드VHM: Versatile and Honest Vision Language Model for Remote Sensing Image Analysis
https://github.com/opendatalab/vhm
공식 코드VHM: Versatile and Honest Vision Language Model for Remote Sensing Image Analysis
https://github.com/phamdanglam1986/An-application-demo-of-audio-visual-crowded-scene-classification-
공식 코드An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification
https://github.com/pranavphoenix/WaveMix
공식 코드WaveMix: A Resource-efficient Neural Network for Image Analysis
https://github.com/richardzhu123/514-class-imbalance
공식 코드Comparing Importance Sampling Based Methods for Mitigating the Effect of Class Imbalance
https://github.com/risojevicv/rssc-transfer
공식 코드Do we still need ImageNet pre-training in remote sensing scene classification?
https://github.com/rulixiang/CorrFusionNet
공식 코드Multi-Temporal Scene Classification and Scene Change Detection with Correlation based Fusion
https://github.com/sayibet/fight-detection-surv-dataset
공식 코드https://github.com/schmitt-muc/SEN12MS
공식 코드Remote Sensing Image Classification with the SEN12MS Dataset
https://github.com/shayangharib/AUDASC
공식 코드Unsupervised adversarial domain adaptation for acoustic scene classification
https://github.com/silvia1993/multi-modal_rgb-d_scene_recognition_across_domains
공식 코드https://github.com/spectralpublic/pcnet
공식 코드Pairwise Comparison Network for Remote Sensing Scene Classification
https://github.com/sunwei925/dn-piqa
공식 코드https://github.com/tanmdl/watt-effnet
공식 코드WATT-EffNet: A Lightweight and Accurate Model for Classifying Aerial Disaster Images
https://github.com/themoro/diraugmentation
공식 코드Device-Robust Acoustic Scene Classification via Impulse Response Augmentation
https://github.com/thuml/debiased-self-training
공식 코드https://github.com/tsborkar/DeepCorrect
공식 코드DeepCorrect: Correcting DNN models against Image Distortions
https://github.com/tui-nicr/emsaformer
공식 코드https://github.com/tui-nicr/emsanet
공식 코드Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments
https://github.com/tui-nicr/nicr-scene-analysis-datasets
공식 코드https://github.com/utaustin-swarmlab/neuro-symbolic-agent-challenge
공식 코드https://github.com/vitae-transformer/mtp
공식 코드MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
https://github.com/vpulab/Semantic-Aware-Scene-Recognition
공식 코드https://github.com/wanglimin/MRCNN-Scene-Recognition
공식 코드Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs
https://github.com/wangzhecheng/skyscript
공식 코드SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing
https://github.com/wenjiaxu/rs_scene_zsl
공식 코드Deep Semantic-Visual Alignment for Zero-Shot Remote Sensing Image Scene Classification
https://github.com/yhZhai/SOAR
공식 코드https://github.com/yjxiong/caffe
공식 코드Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs
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