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 151175 of 2262 papers

TitleStatusHype
Scalable SoftGroup for 3D Instance Segmentation on Point CloudsCode2
CHEX: CHannel EXploration for CNN Model CompressionCode1
AISFormer: Amodal Instance Segmentation with TransformerCode1
CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic SurgeryCode1
CEDNet: A Cascade Encoder-Decoder Network for Dense PredictionCode1
AIO-P: Expanding Neural Performance Predictors Beyond Image ClassificationCode1
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance SegmentationCode1
CenterPoly: real-time instance segmentation using bounding polygonsCode1
CenterMask: Real-Time Anchor-Free Instance SegmentationCode1
CentripetalNet: Pursuing High-quality Keypoint Pairs for Object DetectionCode1
CenterMask : Real-Time Anchor-Free Instance SegmentationCode1
Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image EncodingCode1
CeyMo: See More on Roads -- A Novel Benchmark Dataset for Road Marking DetectionCode1
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayersCode1
DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality AnnotationsCode1
Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological ImagesCode1
Deep learning approaches to building rooftop thermal bridge detection from aerial imagesCode1
AggMask: Exploring locally aggregated learning of mask representations for instance segmentationCode1
A Generalized Framework for Video Instance SegmentationCode1
CDNet: Centripetal Direction Network for Nuclear Instance SegmentationCode1
Deep Learning based Food Instance Segmentation using Synthetic DataCode1
CISCA and CytoDArk0: a Cell Instance Segmentation and Classification method for histo(patho)logical image Analyses and a new, open, Nissl-stained dataset for brain cytoarchitecture studiesCode1
CBNet: A Composite Backbone Network Architecture for Object DetectionCode1
Decoupling Classifier for Boosting Few-shot Object Detection and Instance SegmentationCode1
Affinity Attention Graph Neural Network for Weakly Supervised Semantic SegmentationCode1
Show:102550
← PrevPage 7 of 91Next →

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
8GLEE-Promask AP54.2Unverified
9ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2Unverified
10SwinV2-G (HTC++)mask AP53.7Unverified