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

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Showing 1151–1200 of 2262 papers

TitleStatusHype
A Vanilla Multi-Task Framework for Dense Visual Prediction Solution to 1st VCL Challenge -- Multi-Task Robustness Track—0
Few-shot adaptation for morphology-independent cell instance segmentation—0
Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation—0
Outline-Guided Object Inpainting with Diffusion Models—0
ISCUTE: Instance Segmentation of Cables Using Text Embedding—0
SAWEC: Sensing-Assisted Wireless Edge ComputingCode0
Robust semi-automatic vessel tracing in the human retinal image by an instance segmentation neural network—0
Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge—0
Improving Pallet Detection Using Synthetic Data—0
Adapting SAM for Volumetric X-Ray Data-sets of Arbitrary Sizes—0
Multi-class Road Defect Detection and Segmentation using Spatial and Channel-wise Attention for Autonomous Road Repairing—0
Instance Segmentation XXL-CT Challenge of a Historic Airplane—0
Deep Spectral Improvement for Unsupervised Image Instance SegmentationCode0
A Manifold Representation of the Key in Vision Transformers—0
Individual mapping of large polymorphic shrubs in high mountains using satellite images and deep learning—0
SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data—0
SAM-based instance segmentation models for the automation of structural damage detection—0
On generalisability of segment anything model for nuclear instance segmentation in histology images—0
CloudTracks: A Dataset for Localizing Ship Tracks in Satellite Images of Clouds—0
Towards Complementary Knowledge Distillation for Efficient Dense Image Prediction—0
One Step Learning, One Step ReviewCode0
P2Seg: Pointly-supervised Segmentation via Mutual Distillation—0
SEINE: Structure Encoding and Interaction Network for Nuclei Instance SegmentationCode0
Skeleton-Guided Instance Separation for Fine-Grained Segmentation in Microscopy—0
A Novel Deep Learning Approach Featuring Graph-Based Algorithm for Cell Segmentation and TrackingCode0
Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping—0
Unsupervised Pre-Training for 3D Leaf Instance Segmentation—0
Generative Denoise Distillation: Simple Stochastic Noises Induce Efficient Knowledge Transfer for Dense PredictionCode0
MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation—0
Automatic characterization of boulders on planetary surfaces from high-resolution satellite images—0
Multi-scale attention-based instance segmentation for measuring crystals with large size variation—0
ENSTRECT: A Stage-based Approach to 2.5D Structural Damage DetectionCode0
FISBe: A Real-World Benchmark Dataset for Instance Segmentation of Long-Range Thin Filamentous Structures—0
Edge-Aware 3D Instance Segmentation Network with Intelligent Semantic Prior—0
SceneFun3D: Fine-Grained Functionality and Affordance Understanding in 3D Scenes—0
Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Multi-Scale Aggregation and Anthropic Prior Knowledge—0
Mudslide: A Universal Nuclear Instance Segmentation Method—0
Leveraging Open-Vocabulary Diffusion to Camouflaged Instance Segmentation—0
Generalized Mask-aware IoU for Anchor Assignment for Real-time Instance Segmentation—0
All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes—0
SAI3D: Segment Any Instance in 3D Scenes—0
Offshore Wind Plant Instance Segmentation Using Sentinel-1 Time Series, GIS, and Semantic Segmentation Models—0
Comparing YOLOv8 and Mask RCNN for object segmentation in complex orchard environments—0
SAM-guided Graph Cut for 3D Instance Segmentation—0
MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous DrivingCode0
Automated Behavioral Analysis Using Instance SegmentationCode0
DFGET: Displacement-Field Assisted Graph Energy Transmitter for Gland Instance Segmentation—0
EipFormer: Emphasizing Instance Positions in 3D Instance Segmentation—0
Immature Green Apple Detection and Sizing in Commercial Orchards using YOLOv8 and Shape Fitting Techniques—0
Bottom-Up Instance Segmentation of Catheters for Chest X-Rays—0
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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
8GLEE-Promask AP54.2—Unverified
9ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2—Unverified
10SwinV2-G (HTC++)mask AP53.7—Unverified