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 22262250 of 2262 papers

TitleStatusHype
Learning a Spatio-Temporal Embedding for Video Instance SegmentationCode0
LDA-AQU: Adaptive Query-guided Upsampling via Local Deformable AttentionCode0
Layered Embeddings for Amodal Instance SegmentationCode0
A novel Region of Interest Extraction Layer for Instance SegmentationCode0
SoftPQ: Robust Instance Segmentation Evaluation via Soft Matching and Tunable ThresholdsCode0
SOGNet: Scene Overlap Graph Network for Panoptic SegmentationCode0
Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory AnnotationsCode0
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom UpCode0
DARCNN: Domain Adaptive Region-based Convolutional Neural Network forUnsupervised Instance Segmentation in Biomedical ImagesCode0
Joint Representation Learning for Text and 3D Point CloudCode0
Iterative fully convolutional neural networks for automatic vertebra segmentation and identificationCode0
ISDA: Position-Aware Instance Segmentation with Deformable AttentionCode0
DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical ImagesCode0
SortedAP: Rethinking evaluation metrics for instance segmentationCode0
DAN-NucNet: A dual attention based framework for nuclei segmentation in cancer histology images under wild clinical conditionsCode0
IRNet: Instance Relation Network for Overlapping Cervical Cell SegmentationCode0
UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships through the Lens of Adversarial AttacksCode0
Inverse Image Frequency for Long-tailed Image RecognitionCode0
Instance Segmentation of Microscopic ForaminiferaCode0
Instance Segmentation of Biological Images Using Harmonic EmbeddingsCode0
3D Hierarchical Panoptic Segmentation in Real Orchard Environments Across Different SensorsCode0
Instance Segmentation for Whole Slide Imaging: End-to-End or Detect-Then-SegmentCode0
Instance Segmentation by Deep ColoringCode0
Instance Segmentation as Image Segmentation AnnotationCode0
CyclePose -- Leveraging Cycle-Consistency for Annotation-Free Nuclei Segmentation in Fluorescence MicroscopyCode0
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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