DETR ResNet 101 Panoptic Segmentation @KarolMajek
DETR ResNet 101 Panoptic Segmentation  @KarolMajek
Uploaded June 2020 | Updated September 2026, 3 weeks ago
Video made by Aleksandra Kos
linkedin.com/in/aleksandra-kos

Edited by me a little (moved viz to center)

DETR by Facebook:
github.com/facebookresearch/detr

Download my 4k video test sequence: archive.org/details/0002201705192
DETR ResNet 101 Panoptic SegmentationFaster RCNN  X101 32x4d FPN 1xTraffic Analisys: Unwarp Image in OpenCVYOLOv4 608x608M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid NetworkYOLOv4 1024 FP16 - RTX2070 MaxQ - using ext_outputMMdetection: Cascade RCNN X101 64x4d FPN2xFaster RCNN X101 64x4d FPN 1xFaster RCNN HrNetV2p W32 1xEfficientDet D1 VOC (toandaominh1997/EfficientDet.Pytorch)MMdetection: Cascade Mask RCNN X101 32x4d FPN 1xOpenCV YOLO Object Detection at Night - Adrian Rosebrock (pyImageSearch) implementation
Karol Majek |

DETR ResNet 101 Panoptic Segmentation

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