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 21262150 of 2262 papers

TitleStatusHype
Self-supervised Learning for Panoptic Segmentation of Multiple Fruit Flower SpeciesCode0
Tracking Passengers and Baggage Items using Multiple Overhead Cameras at Security CheckpointsCode0
Self-Supervised Learning from Non-Object Centric Images with a Geometric Transformation Sensitive ArchitectureCode0
Self-supervised Learning of Contextualized Local Visual EmbeddingsCode0
Self-Supervised Learning via Conditional Motion PropagationCode0
MSN: Efficient Online Mask Selection Network for Video Instance SegmentationCode0
Monocular Depth Estimation Using Cues Inspired by Biological Vision SystemsCode0
Semi-supervised machine learning model for analysis of nanowire morphologies from transmission electron microscopy imagesCode0
Domain Randomization for Scene-Specific Car Detection and Pose EstimationCode0
MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor PerceptionCode0
Vision Transformers for Weakly-Supervised Microorganism EnumerationCode0
DiT: Efficient Vision Transformers with Dynamic Token RoutingCode0
Self-supervised Transfer Learning for Instance Segmentation through Physical InteractionCode0
MCA: Moment Channel Attention NetworksCode0
Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme OcclusionCode0
Mask Scoring R-CNNCode0
Training a universal instance segmentation network for live cell images of various cell types and imaging modalitiesCode0
Distance to Center of Mass Encoding for Instance SegmentationCode0
Training-Free Dataset Pruning for Instance SegmentationCode0
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imagingCode0
MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance SegmentationCode0
MASC: Multi-scale Affinity with Sparse Convolution for 3D Instance SegmentationCode0
Vision Transformer with Sparse Scan PriorCode0
Automated crater shape retrieval using weakly-supervised deep learningCode0
Automated Behavioral Analysis Using Instance SegmentationCode0
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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