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

Showing 701725 of 2262 papers

TitleStatusHype
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance SegmentationCode1
Learning Cross-Representation Affinity Consistency for Sparsely Supervised Biomedical Instance SegmentationCode1
Efficient Attention: Attention with Linear ComplexitiesCode1
Panoptic Segmentation: A ReviewCode1
3D Part Guided Image Editing for Fine-Grained Object UnderstandingCode1
Learning Object Bounding Boxes for 3D Instance Segmentation on Point CloudsCode1
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene ContextsCode1
PaCa-ViT: Learning Patch-to-Cluster Attention in Vision TransformersCode1
Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing ImagesCode1
Learning RGB-D Feature Embeddings for Unseen Object Instance SegmentationCode1
Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic SegmentationCode1
Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot InteractionCode1
EPSANet: An Efficient Pyramid Squeeze Attention Block on Convolutional Neural NetworkCode1
EPSNet: Efficient Panoptic Segmentation Network with Cross-layer Attention FusionCode1
CBNet: A Composite Backbone Network Architecture for Object DetectionCode1
Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object DetectionCode1
Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance SegmentationCode1
Semantic Segmentation-Assisted Instance Feature Fusion for Multi-Level 3D Part Instance SegmentationCode1
CDNet: Centripetal Direction Network for Nuclear Instance SegmentationCode1
Learning Universal Shape Dictionary for Realtime Instance SegmentationCode1
Deep High-Resolution Representation Learning for Visual RecognitionCode1
Evaluation Study on SAM 2 for Class-agnostic Instance-level SegmentationCode1
Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological ImagesCode1
EViT: An Eagle Vision Transformer with Bi-Fovea Self-AttentionCode1
Decoupling Classifier for Boosting Few-shot Object Detection and Instance SegmentationCode1
Show:102550
← PrevPage 29 of 91Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-HAP5080.8Unverified
2ResNeSt-200 (multi-scale)AP5070.2Unverified
3CenterMask + VoVNetV2-99 (multi-scale)AP5066.2Unverified
4CenterMask + VoVNetV2-57 (single-scale)AP5060.8Unverified
5Co-DETRmask AP57.1Unverified
6CBNetV2 (EVA02, single-scale)mask AP56.1Unverified
7ISDA (ResNet-50)APL55.7Unverified
8EVAmask AP55.5Unverified
9FD-SwinV2-Gmask AP55.4Unverified
10Mask Frozen-DETRmask AP55.3Unverified
#ModelMetricClaimedVerifiedStatus
1InternImage-BGFLOPs501Unverified
2Co-DETRmask AP56.6Unverified
3ViT-CoMer-L (Mask RCNN, DINOv2)mask AP55.9Unverified
4InternImage-Hmask AP55.4Unverified
5EVAmask AP55Unverified
6Mask Frozen-DETRmask AP54.9Unverified
7MasK DINO (SwinL, multi-scale)mask AP54.5Unverified
8GLEE-Promask AP54.2Unverified
9ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2Unverified
10SwinV2-G (HTC++)mask AP53.7Unverified