REFINE: Prediction Fusion Network for Panoptic Segmentation

Panoptic segmentation aims at generating pixel-wise class and instance predictions for each pixel in the input image, which is a challenging task and far more complicated than naively fusing the semantic and instance segmentation results. Prediction fusion is therefore important to achieve accurate panoptic segmentation... (read more)

PDF Abstract
No code implementations yet. Submit your code now

Datasets


Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Panoptic Segmentation COCO test-dev REFINE (ResNeXt-101-DCN) PQ 51.5 # 1
PQst 39.2 # 2
PQth 59.6 # 1
Panoptic Segmentation COCO test-dev REFINE (ResNet-101-DCN) PQ 49.6 # 4
PQst 37.7 # 6
PQth 57.5 # 4

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet