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 526550 of 2262 papers

TitleStatusHype
Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask GuidanceCode1
Semantic-Aware Autoregressive Image Modeling for Visual Representation LearningCode1
General Object Foundation Model for Images and Videos at ScaleCode3
CattleEyeView: A Multi-task Top-down View Cattle Dataset for Smarter Precision Livestock FarmingCode1
Offshore Wind Plant Instance Segmentation Using Sentinel-1 Time Series, GIS, and Semantic Segmentation Models0
SAM-guided Graph Cut for 3D Instance Segmentation0
Comparing YOLOv8 and Mask RCNN for object segmentation in complex orchard environments0
Automated Behavioral Analysis Using Instance SegmentationCode0
MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous DrivingCode0
MaxQ: Multi-Axis Query for N:M Sparsity NetworkCode1
DFGET: Displacement-Field Assisted Graph Energy Transmitter for Gland Instance Segmentation0
TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance SegmentationCode1
ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance SegmentationCode1
EipFormer: Emphasizing Instance Positions in 3D Instance Segmentation0
Immature Green Apple Detection and Sizing in Commercial Orchards using YOLOv8 and Shape Fitting Techniques0
VISAGE: Video Instance Segmentation with Appearance-Guided EnhancementCode1
Bottom-Up Instance Segmentation of Catheters for Chest X-Rays0
Uni3DL: Unified Model for 3D and Language Understanding0
PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View Instance Segmentation and Maximum Likelihood EstimationCode1
Panoptica -- instance-wise evaluation of 3D semantic and instance segmentation mapsCode1
A Data-efficient Framework for Robotics Large-scale LiDAR Scene Parsing0
A Review and A Robust Framework of Data-Efficient 3D Scene Parsing with Traditional/Learned 3D Descriptors0
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment AnythingCode4
Generalized Robot 3D Vision-Language Model with Fast Rendering and Pre-Training Vision-Language AlignmentCode3
CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations0
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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