SOTAVerified

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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 951–1000 of 2262 papers

TitleStatusHype
Instance Scale Normalization for image understanding—0
3D Concept Grounding on Neural Fields—0
Learning with Free Object Segments for Long-Tailed Instance Segmentation—0
High-throughput Phenotyping of Nematode Cysts—0
Indoor Scene Parsing With Instance Segmentation, Semantic Labeling and Support Relationship Inference—0
Industrial Synthetic Segment Pre-training—0
Hierarchical Side-Tuning for Vision Transformers—0
InsCon:Instance Consistency Feature Representation via Self-Supervised Learning—0
UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer via Hierarchical Mask Calibration—0
ConfLUNet: Multiple sclerosis lesion instance segmentation in presence of confluent lesions—0
Insight Any Instance: Promptable Instance Segmentation for Remote Sensing Images—0
Insightful Instance Features for 3D Instance Segmentation—0
Hierarchical Lovasz Embeddings for Proposal-Free Panoptic Segmentation—0
InsPro: Propagating Instance Query and Proposal for Online Video Instance Segmentation—0
Hierarchical Lovász Embeddings for Proposal-free Panoptic Segmentation—0
Confidence Calibration for Object Detection and Segmentation—0
ConES: Concept Embedding Search for Parameter Efficient Tuning Large Vision Language Models—0
Attention-based Feature Aggregation—0
HIDA: Towards Holistic Indoor Understanding for the Visually Impaired via Semantic Instance Segmentation with a Wearable Solid-State LiDAR Sensor—0
Instance-Aware Group Quantization for Vision Transformers—0
Learning to Track Instances without Video Annotations—0
Adversarial Stain Transfer to Study the Effect of Color Variation on Cell Instance Segmentation—0
Learning to Track Any Object—0
H-EMD: A Hierarchical Earth Mover's Distance Method for Instance Segmentation—0
A Dynamic Feature Interaction Framework for Multi-task Visual Perception—0
HAISTA-NET: Human Assisted Instance Segmentation Through Attention—0
Concavity-Induced Distance for Unoriented Point Cloud Decomposition—0
Instance-Level Salient Object Segmentation—0
Instance Migration Diffusion for Nuclear Instance Segmentation in Pathology—0
Monocular Instance Motion Segmentation for Autonomous Driving: KITTI InstanceMotSeg Dataset and Multi-task Baseline—0
Learning to Optimally Segment Point Clouds—0
Concatenated Feature Pyramid Network for Instance Segmentation—0
Computer Vision Pipeline for Automated Antarctic Krill Analysis—0
Guided Table Structure Recognition through Anchor Optimization—0
Curriculum Learning with Diversity for Supervised Computer Vision Tasks—0
Instance segmentation based 6D pose estimation of industrial objects using point clouds for robotic bin-picking—0
Instance Segmentation Based Graph Extraction for Handwritten Circuit Diagram Images—0
Instance Segmentation based Semantic Matting for Compositing Applications—0
Computation Reallocation for Object Detection—0
gSwin: Gated MLP Vision Model with Hierarchical Structure of Shifted Window—0
GrowliFlower: An image time series dataset for GROWth analysis of cauLIFLOWER—0
Growing Instance Mask on Leaf—0
Learning to Infer Kinematic Hierarchies for Novel Object Instances—0
Instance Segmentation for Point Sets—0
Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation—0
Instance Segmentation GNNs for One-Shot Conformal Tracking at the LHC—0
A three in one bottom-up framework for simultaneous semantic segmentation, instance segmentation and classification of multi-organ nuclei in digital cancer histology—0
Advancing SEM Based Nano-Scale Defect Analysis in Semiconductor Manufacturing for Advanced IC Nodes—0
Grasp Anything: Combining Teacher-Augmented Policy Gradient Learning with Instance Segmentation to Grasp Arbitrary Objects—0
Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos—0
Show:102550
← PrevPage 20 of 46Next →
All datasetsCOCO test-devCOCO minivalLVIS v1.0 valCityscapes valADE20K valARMBenchOccluded COCOOoDISSeparated COCOTBBRBDD100K valCOCO val (panoptic labels)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-HAP5080.8—Unverified
2ResNeSt-200 (multi-scale)AP5070.2—Unverified
3CenterMask + VoVNetV2-99 (multi-scale)AP5066.2—Unverified
4CenterMask + VoVNetV2-57 (single-scale)AP5060.8—Unverified
5Co-DETRmask AP57.1—Unverified
6CBNetV2 (EVA02, single-scale)mask AP56.1—Unverified
7ISDA (ResNet-50)APL55.7—Unverified
8EVAmask AP55.5—Unverified
9FD-SwinV2-Gmask AP55.4—Unverified
10Mask Frozen-DETRmask AP55.3—Unverified
#ModelMetricClaimedVerifiedStatus
1InternImage-BGFLOPs501—Unverified
2Co-DETRmask AP56.6—Unverified
3ViT-CoMer-L (Mask RCNN, DINOv2)mask AP55.9—Unverified
4InternImage-Hmask AP55.4—Unverified
5EVAmask AP55—Unverified
6Mask Frozen-DETRmask AP54.9—Unverified
7MasK DINO (SwinL, multi-scale)mask AP54.5—Unverified
8ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2—Unverified
9GLEE-Promask AP54.2—Unverified
10SwinV2-G (HTC++)mask AP53.7—Unverified