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 701750 of 2262 papers

TitleStatusHype
TIDE: A General Toolbox for Identifying Object Detection ErrorsCode1
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance SegmentationCode1
Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor SceneCode1
Supervised Edge Attention Network for Accurate Image Instance SegmentationCode1
Learning with Noisy Class Labels for Instance SegmentationCode1
Learning RGB-D Feature Embeddings for Unseen Object Instance SegmentationCode1
SipMask: Spatial Information Preservation for Fast Image and Video Instance SegmentationCode1
Detection and Segmentation of Custom Objects using High Distraction Photorealistic Synthetic DataCode1
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and trackingCode1
Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance SegmentationCode1
The Devil is in Classification: A Simple Framework for Long-tail Object Detection and Instance SegmentationCode1
Representation Sharing for Fast Object Detector Search and BeyondCode1
Deep Variational Instance SegmentationCode1
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance SegmentationCode1
Balanced Meta-Softmax for Long-Tailed Visual RecognitionCode1
Learning Gaussian Instance Segmentation in Point CloudsCode1
Boundary-preserving Mask R-CNNCode1
RepPoints V2: Verification Meets Regression for Object DetectionCode1
Unseen Object Instance Segmentation for Robotic EnvironmentsCode1
Spatial Semantic Embedding Network: Fast 3D Instance Segmentation with Deep Metric LearningCode1
Point-Set Anchors for Object Detection, Instance Segmentation and Pose EstimationCode1
PointTrack++ for Effective Online Multi-Object Tracking and SegmentationCode1
Rethinking Channel Dimensions for Efficient Model DesignCode1
MSNet: A Multilevel Instance Segmentation Network for Natural Disaster Damage Assessment in Aerial VideosCode1
Video Panoptic SegmentationCode1
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group SoftmaxCode1
Coherent Reconstruction of Multiple Humans from a Single ImageCode1
GradAug: A New Regularization Method for Deep Neural NetworksCode1
VirTex: Learning Visual Representations from Textual AnnotationsCode1
Boundary-assisted Region Proposal Networks for Nucleus SegmentationCode1
D2Det: Towards High Quality Object Detection and Instance SegmentationCode1
Improving Convolutional Networks With Self-Calibrated ConvolutionsCode1
Interactive Object Segmentation With Inside-Outside GuidanceCode1
Learning Saliency Propagation for Semi-Supervised Instance SegmentationCode1
CenterMask: Real-Time Anchor-Free Instance SegmentationCode1
3D Part Guided Image Editing for Fine-Grained Object UnderstandingCode1
3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance SegmentationCode1
NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy ImagesCode1
NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisationCode1
Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3Code1
AutoSweep: Recovering 3D Editable Objectsfrom a Single PhotographCode1
Attention-guided Context Feature Pyramid Network for Object DetectionCode1
Towards Streaming PerceptionCode1
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance SegmentationCode1
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weightingCode1
Dynamic Scale Training for Object DetectionCode1
Fashionpedia: Ontology, Segmentation, and an Attribute Localization DatasetCode1
Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local ConstraintsCode1
A Transductive Approach for Video Object SegmentationCode1
Evolving Normalization-Activation LayersCode1
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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