SETR PUP 768x768 80k Cityscapes batch 8 @KarolMajek
SETR PUP 768x768 80k Cityscapes batch 8  @KarolMajek
Uploaded May 2021 | Updated September 2026, 1 week ago
Code: github.com/fudan-zvg/SETR.git
Config: SETR_PUP_768x768_80k_cityscapes_bs_8.py
Checkpoint: SETR_PUP_cityscapes_b8_80k.pth

Thanks to: github.com/koseq

Download my 4k video test sequence: archive.org/details/0002201705192
SETR PUP 768x768 80k Cityscapes batch 8Detectron2: Faster RCNN R50 DC5 3x - COCO - Object Detection Tesla V100In-Place Activated BatchNorm - Mapillary Vistas - WideResNet38 + DeepLab3 segmentationFCOS: Fully Convolutional One-Stage Object Detection (ICCV19)Detectron2: Cascade Mask RCNN X152 32x8d FPN IN5k gn dconvYOLOv7 640pxYOLOv3 object detection vs M2Det  |  COCO vs Open Images v4POLY-YOLO LightOpenVSLAM mapping on Jetson NanoDetectron2: Mask RCNN R50 FPN 3x gnDetectron2: Faster RCNN X101 32x8d FPN 3xIn-Place Activated BatchNorm - Mapillary Vistas - WideResNet38 + DeepLab3 segmentation 8K viz
Karol Majek |

SETR PUP 768x768 80k Cityscapes batch 8

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