RoblabWhGe
基於SenseTime可變形DETR架構微調的火災檢測模型，支持火焰、車輛和人體多目標檢測
SenseTime
可變形DETR是一種端到端的目標檢測模型，結合了Transformer架構和可變形卷積的優勢，在COCO數據集上實現了高效的目標檢測。
可變形DETR是一種基於Transformer的目標檢測模型，通過邊界框優化和兩階段檢測實現端到端訓練，適用於COCO數據集。
可變形DETR是一種端到端目標檢測模型，使用Transformer架構和可變形注意力機制改進檢測性能。
可變形DETR是一種端到端的目標檢測模型，結合了Transformer架構和可變形卷積的優勢，在COCO數據集上訓練而成。
可變形檢測變換器（Deformable DETR）單尺度模型，專為目標檢測任務設計，採用端到端訓練方式，在COCO 2017數據集上表現優異。
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