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
Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic SegmentationCode1
Balanced Meta-Softmax for Long-Tailed Visual RecognitionCode1
HistoSmith: Single-Stage Histology Image-Label Generation via Conditional Latent Diffusion for Enhanced Cell Segmentation and ClassificationCode1
Hierarchical Aggregation for 3D Instance SegmentationCode1
PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View Instance Segmentation and Maximum Likelihood EstimationCode1
All in Tokens: Unifying Output Space of Visual Tasks via Soft TokenCode1
FreePoint: Unsupervised Point Cloud Instance SegmentationCode1
Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing ImagesCode1
Path Aggregation Network for Instance SegmentationCode1
Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural DomainCode1
PeR-ViS: Person Retrieval in Video Surveillance using Semantic DescriptionCode1
EPSANet: An Efficient Pyramid Squeeze Attention Block on Convolutional Neural NetworkCode1
EPSNet: Efficient Panoptic Segmentation Network with Cross-layer Attention FusionCode1
Segmenting Known Objects and Unseen Unknowns without Prior KnowledgeCode1
Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object DetectionCode1
PIDray: A Large-scale X-ray Benchmark for Real-World Prohibited Item DetectionCode1
H2RBox: Horizontal Box Annotation is All You Need for Oriented Object DetectionCode1
CDNet: Centripetal Direction Network for Nuclear Instance SegmentationCode1
PointNu-Net: Keypoint-assisted Convolutional Neural Network for Simultaneous Multi-tissue Histology Nuclei Segmentation and ClassificationCode1
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
Guided Distillation for Semi-Supervised Instance SegmentationCode1
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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
8ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2Unverified
9GLEE-Promask AP54.2Unverified
10SwinV2-G (HTC++)mask AP53.7Unverified