paper-with-me

Object Detection 벤치마크

Object Detection on iSAID

25개 결과 · ⬇ CSV · JSON

Average Precision

36.5 39.12 41.75 44.38 47 2017-03 2026-09 Mask-RCNN+ — 37.18 (2017-03-20) Mask-RCNN — 36.5 (2017-03-20) Mask-RCNN+ — 37.18 (2017-03-20) Mask-RCNN — 36.5 (2017-03-20) Mask-RCNN+ — 37.18 (2017-03-20) Mask-RCNN — 36.5 (2017-03-20) Mask-RCNN+ — 37.18 (2017-03-20) Mask-RCNN — 36.5 (2017-03-20) Mask-RCNN+ — 37.18 (2017-03-20) Mask-RCNN — 36.5 (2017-03-20) PANet — 41.66 (2018-03-05) PANet — 41.66 (2018-03-05) PANet — 41.66 (2018-03-05) PANet — 41.66 (2018-03-05) PANet — 41.66 (2018-03-05) PANet++ — 47.0 (2019-05-30) PANet+ — 46.31 (2019-05-30) PANet++ — 47.0 (2019-05-30) PANet+ — 46.31 (2019-05-30) PANet++ — 47.0 (2019-05-30) PANet+ — 46.31 (2019-05-30) PANet++ — 47.0 (2019-05-30) PANet+ — 46.31 (2019-05-30) PANet++ — 47.0 (2019-05-30) PANet+ — 46.31 (2019-05-30) Mask-RCNN+ — 37.18 (2017-03-20) PANet — 41.66 (2018-03-05) PANet++ — 47.0 (2019-05-30)
RankModel Average Precision PaperCodeYear
1 PANet++ 47.0 iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images CAPTAIN-WHU/iSAID_Devkit · yeliudev/catnet · Anirudh0707/Roads-and-Building-Segmentation 2019
2 PANet+ 46.31 iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images CAPTAIN-WHU/iSAID_Devkit · yeliudev/catnet · Anirudh0707/Roads-and-Building-Segmentation 2019
3 PANet 41.66 Path Aggregation Network for Instance Segmentation ultralytics/yolov5 · open-mmlab/mmdetection · PaddlePaddle/PaddleDetection · +7 2018
4 Mask-RCNN+ 37.18 Mask R-CNN tensorflow/models · facebookresearch/detectron2 · facebookresearch/detectron · +176 2017
5 Mask-RCNN 36.50 Mask R-CNN tensorflow/models · facebookresearch/detectron2 · facebookresearch/detectron · +176 2017
6 PANet++ 47.0 iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images CAPTAIN-WHU/iSAID_Devkit · yeliudev/catnet · Anirudh0707/Roads-and-Building-Segmentation 2019
7 PANet+ 46.31 iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images CAPTAIN-WHU/iSAID_Devkit · yeliudev/catnet · Anirudh0707/Roads-and-Building-Segmentation 2019
8 PANet 41.66 Path Aggregation Network for Instance Segmentation ultralytics/yolov5 · open-mmlab/mmdetection · PaddlePaddle/PaddleDetection · +7 2018
9 Mask-RCNN+ 37.18 Mask R-CNN tensorflow/models · facebookresearch/detectron2 · facebookresearch/detectron · +176 2017
10 Mask-RCNN 36.50 Mask R-CNN tensorflow/models · facebookresearch/detectron2 · facebookresearch/detectron · +176 2017
11 PANet++ 47.0 iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images CAPTAIN-WHU/iSAID_Devkit · yeliudev/catnet · Anirudh0707/Roads-and-Building-Segmentation 2019
12 PANet+ 46.31 iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images CAPTAIN-WHU/iSAID_Devkit · yeliudev/catnet · Anirudh0707/Roads-and-Building-Segmentation 2019
13 PANet 41.66 Path Aggregation Network for Instance Segmentation ultralytics/yolov5 · open-mmlab/mmdetection · PaddlePaddle/PaddleDetection · +7 2018
14 Mask-RCNN+ 37.18 Mask R-CNN tensorflow/models · facebookresearch/detectron2 · facebookresearch/detectron · +176 2017
15 Mask-RCNN 36.50 Mask R-CNN tensorflow/models · facebookresearch/detectron2 · facebookresearch/detectron · +176 2017
16 PANet++ 47.0 iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images CAPTAIN-WHU/iSAID_Devkit · yeliudev/catnet · Anirudh0707/Roads-and-Building-Segmentation 2019
17 PANet+ 46.31 iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images CAPTAIN-WHU/iSAID_Devkit · yeliudev/catnet · Anirudh0707/Roads-and-Building-Segmentation 2019
18 PANet 41.66 Path Aggregation Network for Instance Segmentation ultralytics/yolov5 · open-mmlab/mmdetection · PaddlePaddle/PaddleDetection · +7 2018
19 Mask-RCNN+ 37.18 Mask R-CNN tensorflow/models · facebookresearch/detectron2 · facebookresearch/detectron · +176 2017
20 Mask-RCNN 36.50 Mask R-CNN tensorflow/models · facebookresearch/detectron2 · facebookresearch/detectron · +176 2017
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