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 451–500 of 2262 papers

TitleStatusHype
FusionVision: A comprehensive approach of 3D object reconstruction and segmentation from RGB-D cameras using YOLO and fast segment anythingCode2
Multi-Scale Denoising in the Feature Space for Low-Light Instance Segmentation—0
Few-shot adaptation for morphology-independent cell instance segmentation—0
A Vanilla Multi-Task Framework for Dense Visual Prediction Solution to 1st VCL Challenge -- Multi-Task Robustness Track—0
Outline-Guided Object Inpainting with Diffusion Models—0
Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation—0
SPINEPS -- Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance SegmentationCode2
ISCUTE: Instance Segmentation of Cables Using Text Embedding—0
ReViT: Enhancing Vision Transformers Feature Diversity with Attention Residual ConnectionsCode1
SAWEC: Sensing-Assisted Wireless Edge ComputingCode0
Robust semi-automatic vessel tracing in the human retinal image by an instance segmentation neural network—0
TDViT: Temporal Dilated Video Transformer for Dense Video TasksCode1
Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge—0
Complete Instances Mining for Weakly Supervised Instance SegmentationCode1
Improving Pallet Detection Using Synthetic Data—0
Adapting SAM for Volumetric X-Ray Data-sets of Arbitrary Sizes—0
FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation ModelsCode2
Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance SegmentationCode1
Multi-class Road Defect Detection and Segmentation using Spatial and Channel-wise Attention for Autonomous Road Repairing—0
SISP: A Benchmark Dataset for Fine-grained Ship Instance Segmentation in Panchromatic Satellite ImagesCode1
Instance Segmentation XXL-CT Challenge of a Historic Airplane—0
InstanceDiffusion: Instance-level Control for Image GenerationCode4
Deep Spectral Improvement for Unsupervised Image Instance SegmentationCode0
Spatio-temporal Prompting Network for Robust Video Feature ExtractionCode1
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
YOLO-World: Real-Time Open-Vocabulary Object DetectionCode9
SHViT: Single-Head Vision Transformer with Memory Efficient Macro DesignCode2
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
Rethinking Patch Dependence for Masked AutoencodersCode2
Towards Complementary Knowledge Distillation for Efficient Dense Image Prediction—0
UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature RepresentationCode1
One Step Learning, One Step ReviewCode0
A Novel Deep Learning Approach Featuring Graph-Based Algorithm for Cell Segmentation and TrackingCode0
A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask InpaintingCode2
Instance Brownian Bridge as Texts for Open-vocabulary Video Instance SegmentationCode1
P2Seg: Pointly-supervised Segmentation via Mutual Distillation—0
Skeleton-Guided Instance Separation for Fine-Grained Segmentation in Microscopy—0
SEINE: Structure Encoding and Interaction Network for Nuclei Instance SegmentationCode0
SymTC: A Symbiotic Transformer-CNN Net for Instance Segmentation of Lumbar Spine MRICode1
Trapped in texture bias? A large scale comparison of deep instance segmentationCode1
Unsupervised Pre-Training for 3D Leaf Instance Segmentation—0
Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping—0
OBSeg: Accurate and Fast Instance Segmentation Framework Using Segmentation Foundation Models with Oriented Bounding Box PromptsCode2
Generative Denoise Distillation: Simple Stochastic Noises Induce Efficient Knowledge Transfer for Dense PredictionCode0
Automatic characterization of boulders on planetary surfaces from high-resolution satellite images—0
MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation—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
8ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2—Unverified
9GLEE-Promask AP54.2—Unverified
10SwinV2-G (HTC++)mask AP53.7—Unverified