Instance Segmentation

Instance Segmentation is a computer vision task that involves identifying and separating individual objects within an image, including detecting the boundaries of each object and assigning a unique label to each object. The goal of instance segmentation is to produce a pixel-wise segmentation map of the image, where each pixel is assigned to a specific object instance.

Image Credit: Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers, CVPR'21

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 126–150 of 2262 papers

Title	Date	Tasks	Status	Hype
Exploring Plain Vision Transformer Backbones for Object Detection	Mar 30, 2022	Cross-Domain Few-Shot Object DetectionInstance Segmentation	CodeCode Available	2
Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation	Mar 29, 2022	Instance SegmentationNeRF	CodeCode Available	2
Sparse Instance Activation for Real-Time Instance Segmentation	Mar 24, 2022	Instance SegmentationObject	CodeCode Available	2
E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation	Mar 8, 2022	GPUInstance Segmentation	CodeCode Available	2
SoftGroup for 3D Instance Segmentation on Point Clouds	Mar 3, 2022	3D Instance Segmentation3D Object Detection	CodeCode Available	2
FreeSOLO: Learning to Segment Objects without Annotations	Feb 24, 2022	Instance Segmentationobject-detection	CodeCode Available	2
Context Autoencoder for Self-Supervised Representation Learning	Feb 7, 2022	DecoderInstance Segmentation	CodeCode Available	2
Mask2Former for Video Instance Segmentation	Dec 20, 2021	Image SegmentationInstance Segmentation	CodeCode Available	2
Masked-attention Mask Transformer for Universal Image Segmentation	Dec 2, 2021	2D Semantic SegmentationImage Segmentation	CodeCode Available	2
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations	Jun 10, 2021	Instance Segmentationobject-detection	CodeCode Available	2
Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks	May 5, 2021	image-classificationImage Classification	CodeCode Available	2
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows	Mar 25, 2021	image-classificationImage Classification	CodeCode Available	2
LambdaNetworks: Modeling Long-Range Interactions Without Attention	Feb 17, 2021	image-classificationImage Classification	CodeCode Available	2
Bottleneck Transformers for Visual Recognition	Jan 27, 2021	image-classificationImage Classification	CodeCode Available	2
Simplifying Object Segmentation with PixelLib Library	Jan 20, 2021	Image ClassificationInstance Segmentation	CodeCode Available	2
Global Context Networks	Dec 24, 2020	Instance SegmentationObject Detection	CodeCode Available	2
YolactEdge: Real-time Instance Segmentation on the Edge	Dec 22, 2020	Instance SegmentationReal-time Instance Segmentation	CodeCode Available	2
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution	Jun 3, 2020	Instance SegmentationObject	CodeCode Available	2
SOLOv2: Dynamic and Fast Instance Segmentation	Mar 23, 2020	Instance Segmentationobject-detection	CodeCode Available	2
Deep Snake for Real-Time Instance Segmentation	Jan 6, 2020	GPUInstance Segmentation	CodeCode Available	2
BlenderProc	Oct 25, 2019	3D Object RecognitionDepth Image Estimation	CodeCode Available	2
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks	Oct 8, 2019	Dimensionality Reductionimage-classification	CodeCode Available	2
Video Instance Segmentation	May 12, 2019	Instance SegmentationSegmentation	CodeCode Available	2
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond	Apr 25, 2019	Instance SegmentationObject Detection	CodeCode Available	2
Multi-Task Learning as Multi-Objective Optimization	Oct 10, 2018	Depth EstimationGeneral Classification	CodeCode Available	2

Show:10 25 50

← PrevPage 6 of 91Next →

All datasets COCO test-dev COCO minival LVIS v1.0 val Cityscapes val ADE20K val ARMBench Occluded COCO OoDIS Separated COCO TBBR BDD100K val COCO val (panoptic labels)

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	InternImage-H	AP50	80.8	—	Unverified
2	ResNeSt-200 (multi-scale)	AP50	70.2	—	Unverified
3	CenterMask + VoVNetV2-99 (multi-scale)	AP50	66.2	—	Unverified
4	CenterMask + VoVNetV2-57 (single-scale)	AP50	60.8	—	Unverified
5	Co-DETR	mask AP	57.1	—	Unverified
6	CBNetV2 (EVA02, single-scale)	mask AP	56.1	—	Unverified
7	ISDA (ResNet-50)	APL	55.7	—	Unverified
8	EVA	mask AP	55.5	—	Unverified
9	FD-SwinV2-G	mask AP	55.4	—	Unverified
10	Mask Frozen-DETR	mask AP	55.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	InternImage-B	GFLOPs	501	—	Unverified
2	Co-DETR	mask AP	56.6	—	Unverified
3	ViT-CoMer-L (Mask RCNN, DINOv2)	mask AP	55.9	—	Unverified
4	InternImage-H	mask AP	55.4	—	Unverified
5	EVA	mask AP	55	—	Unverified
6	Mask Frozen-DETR	mask AP	54.9	—	Unverified
7	MasK DINO (SwinL, multi-scale)	mask AP	54.5	—	Unverified
8	ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)	mask AP	54.2	—	Unverified
9	GLEE-Pro	mask AP	54.2	—	Unverified
10	SwinV2-G (HTC++)	mask AP	53.7	—	Unverified