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Commit d4fedb1b authored by Yongzhe Wang's avatar Yongzhe Wang Committed by TF Object Detection Team
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research/object_detection/README.md
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...@@ -104,6 +104,18 @@ Sergi Caelles Prat, Shan Yang, Sudheendra Vijayanarasimhan, Tina Tian, Tomer ...@@ -104,6 +104,18 @@ Sergi Caelles Prat, Shan Yang, Sudheendra Vijayanarasimhan, Tina Tian, Tomer
Kaftan, Vighnesh Birodkar, Vishnu Banna, Vivek Rathod, Yanhui Liang, Yiming Shi, Kaftan, Vighnesh Birodkar, Vishnu Banna, Vivek Rathod, Yanhui Liang, Yiming Shi,
Yixin Shi, Yu-hui Chen, Zhichao Lu. Yixin Shi, Yu-hui Chen, Zhichao Lu.
### MobileDet GPU
We have released SSDLite with MobileDet GPU backbone, which achieves 17% mAP
higher than the MobileNetV2 SSDLite (27.5 mAP vs 23.5 mAP) on a NVIDIA Jetson
Xavier at comparable latency (3.2ms vs 3.3ms).
Along with the model definition, we are also releasing model checkpoints trained
on the COCO dataset.
<b>Thanks to contributors</b>: Yongzhe Wang, Bo Chen, Hanxiao Liu, Le An
(NVIDIA), Yu-Te Cheng (NVIDIA), Oliver Knieps (NVIDIA), and Josh Park (NVIDIA).
### Context R-CNN ### Context R-CNN
We have released [Context R-CNN](https://arxiv.org/abs/1912.03538), a model that We have released [Context R-CNN](https://arxiv.org/abs/1912.03538), a model that
......
research/object_detection/g3doc/release_notes.md
View file @ d4fedb1b
...@@ -40,6 +40,18 @@ Sergi Caelles Prat, Shan Yang, Sudheendra Vijayanarasimhan, Tina Tian, Tomer ...@@ -40,6 +40,18 @@ Sergi Caelles Prat, Shan Yang, Sudheendra Vijayanarasimhan, Tina Tian, Tomer
Kaftan, Vighnesh Birodkar, Vishnu Banna, Vivek Rathod, Yanhui Liang, Yiming Shi, Kaftan, Vighnesh Birodkar, Vishnu Banna, Vivek Rathod, Yanhui Liang, Yiming Shi,
Yixin Shi, Yu-hui Chen, Zhichao Lu. Yixin Shi, Yu-hui Chen, Zhichao Lu.
### June 26th, 2020
We have released SSDLite with MobileDet GPU backbone, which achieves 17% mAP
higher than the MobileNetV2 SSDLite (27.5 mAP vs 23.5 mAP) on a NVIDIA Jetson
Xavier at comparable latency (3.2ms vs 3.3ms).
Along with the model definition, we are also releasing model checkpoints trained
on the COCO dataset.
<b>Thanks to contributors</b>: Yongzhe Wang, Bo Chen, Hanxiao Liu, Le An
(NVIDIA), Yu-Te Cheng (NVIDIA), Oliver Knieps (NVIDIA), and Josh Park (NVIDIA).
### June 17th, 2020 ### June 17th, 2020
We have released [Context R-CNN](https://arxiv.org/abs/1912.03538), a model that We have released [Context R-CNN](https://arxiv.org/abs/1912.03538), a model that
......
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