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Models/RS-TransCLIP

RS-TransCLIP

Reported on 10 benchmarks across 1 task · 1 paper · 10 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology10 results

  • Zero-Shot LearningonEuroSAT
    Accuracy· 2024-09-01
    91.2
    SOTA
    Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene ClassificationarXiv:2409.00698
  • Zero-Shot LearningonRSICB256
    Accuracy· 2024-09-01
    72.8
    SOTA
    Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene ClassificationarXiv:2409.00698
  • Zero-Shot LearningonOPTIMAL31
    Accuracy· 2024-09-01
    94.5
    SOTA
    Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene ClassificationarXiv:2409.00698
  • Zero-Shot LearningonWHURS19
    Accuracy· 2024-09-01
    99.7
    SOTA
    Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene ClassificationarXiv:2409.00698
  • Zero-Shot LearningonPatternNet
    Accuracy· 2024-09-01
    96.2
    SOTA
    Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene ClassificationarXiv:2409.00698
  • Zero-Shot LearningonRESISC45
    Accuracy· 2024-09-01
    88
    SOTA
    Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene ClassificationarXiv:2409.00698
  • Zero-Shot LearningonAID
    Accuracy· 2024-09-01
    92.7
    SOTA
    Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene ClassificationarXiv:2409.00698
  • Zero-Shot LearningonMLRSNet
    Accuracy· 2024-09-01
    78.1
    SOTA
    Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene ClassificationarXiv:2409.00698
  • Zero-Shot LearningonRSC11
    Accuracy· 2024-09-01
    88.1
    SOTA
    Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene ClassificationarXiv:2409.00698
  • Zero-Shot LearningonRSICB128
    Accuracy· 2024-09-01
    54.8
    SOTA
    Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene ClassificationarXiv:2409.00698