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 14011425 of 2262 papers

TitleStatusHype
SMAC-Seg: LiDAR Panoptic Segmentation via Sparse Multi-directional Attention Clustering0
LIVECell—A large-scale dataset for label-free live cell segmentationCode1
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating roomCode0
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision0
ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation0
An Underwater Image Semantic Segmentation Method Focusing on Boundaries and a Real Underwater Scene Semantic Segmentation DatasetCode0
Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification0
A Weakly Supervised Amodal Segmenter with Boundary Uncertainty EstimationCode1
Image coding for machines: an end-to-end learned approach0
Tensor Pooling Driven Instance Segmentation Framework for Baggage Threat RecognitionCode0
Palmira: A Deep Deformable Network for Instance Segmentation of Dense and Uneven Layouts in Handwritten ManuscriptsCode0
BlockCopy: High-Resolution Video Processing with Block-Sparse Feature Propagation and Online PoliciesCode1
CenterPoly: real-time instance segmentation using bounding polygonsCode1
Instance Segmentation in 3D Scenes using Semantic Superpoint Tree NetworksCode1
Exploring Classification Equilibrium in Long-Tailed Object DetectionCode1
Towards unconstrained joint hand-object reconstruction from RGB videosCode1
Real-time Human-Centric Segmentation for Complex Video ScenesCode1
SOTR: Segmenting Objects with TransformersCode1
UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships through the Lens of Adversarial AttacksCode0
AI-based thermal bridge detection of building rooftops on district scale using aerial images0
LeafMask: Towards Greater Accuracy on Leaf SegmentationCode1
Semantic Segmentation and Object Detection Towards Instance Segmentation: Breast Tumor Identification0
Hierarchical Aggregation for 3D Instance SegmentationCode1
A Low Rank Promoting Prior for Unsupervised Contrastive Learning0
Detectron2 Object Detection & Manipulating Images using CartoonizationCode4
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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