Instance Segmentation
实例分割是计算机视觉领域的一项任务,旨在识别图像中的单个对象,并分离出每个对象的边界,同时为每个对象分配唯一标签。其目标是生成像素级的分割图,确保图像中每个像素都能准确归属于特定的对象实例,从而实现对复杂场景中多个对象的精确定位与区分。该技术在自动驾驶、医疗影像分析及机器人视觉等领域的应用具有重要价值。
ADE20K val
OneFormer (DiNAT-L, single-scale)
ARMBench
RISE (VIT-B)
BDD100K val
Mask Transfiner
Box-IS
Cityscapes test
PolyTransform
Cityscapes val
OpenSeeD( SwinL, single-scale)
COCO 2017 val
SparK (ConvNeXt V1-B Mask R-CNN)
COCO
ColorMAE-Green-ViTB-1600
COCO minival
Co-DETR
coco minval
R3-CNN (ResNet-50-FPN, GC-Net)
COCO-N Medium
Mask R-CNN ResNet-50 FPN
COCO test-dev
Co-DETR
COCO val (panoptic labels)
COCO val2017
MogaNet-S (256x192)
iSAID
iShape
KINS
BCNet
LDD
Leaf Segmentation Challenge
LeafMask
LVIS v1.0 test-dev
LVIS v1.0 val
Co-DETR (single-scale)
nuScenes
TraDeS
NYU Depth v2
SGPN-CNN
NYUDv2-IS
Occluded COCO
OoDIS
PartNet
Separated COCO
Swin-B + Cascade Mask R-CNN (tri-layer modelling)
SUN-RGBD-IS
IAM + SOLQ
TBBR
TexBiG 2022 test
VSR (Vison, Semantics and Relation Model)
TexBiG 2023 test
UAVBillboards
YOLOv8-X
UFBA-425
BB-UNet
UIIS
WaterMask RCNN