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 21012125 of 2262 papers

TitleStatusHype
EffSeg: Efficient Fine-Grained Instance Segmentation using Structure-Preserving SparsityCode0
Efficient Temporal Action Segmentation via Boundary-aware Query VotingCode0
Neural Scene Decomposition for Multi-Person Motion CaptureCode0
Vision-based Robotic Grasping From Object Localization, Object Pose Estimation to Grasp Estimation for Parallel Grippers: A ReviewCode0
EasyMLServe: Easy Deployment of REST Machine Learning ServicesCode0
Towards Partial Supervision for Generic Object Counting in Natural ScenesCode0
MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous DrivingCode0
Towards Real-Time Open-Vocabulary Video Instance SegmentationCode0
BANet: Bidirectional Aggregation Network with Occlusion Handling for Panoptic SegmentationCode0
BAISeg: Boundary Assisted Weakly Supervised Instance SegmentationCode0
Towards Segmenting Anything That MovesCode0
Mushroom Segmentation and 3D Pose Estimation from Point Clouds using Fully Convolutional Geometric Features and Implicit Pose EncodingCode0
Dynamic Multimodal Instance Segmentation guided by natural language queriesCode0
Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic DataCode0
ENSTRECT: A Stage-based Approach to 2.5D Structural Damage DetectionCode0
Multi-task Planar Reconstruction with Feature Warping GuidanceCode0
Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding BoxesCode0
GUNNEL: Guided Mixup Augmentation and Multi-View Fusion for Aquatic Animal SegmentationCode0
SEINE: Structure Encoding and Interaction Network for Nuclei Instance SegmentationCode0
Self-Balanced R-CNN for Instance SegmentationCode0
Amodal Instance Segmentation With KINS DatasetCode0
Dual Thinking and Logical Processing -- Are Multi-modal Large Language Models Closing the Gap with Human Vision ?Code0
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical RegionsCode0
YOLOv11: An Overview of the Key Architectural EnhancementsCode0
Drawing the Same Bounding Box Twice? Coping Noisy Annotations in Object Detection with Repeated LabelsCode0
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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