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 14511475 of 2262 papers

TitleStatusHype
Poly-NL: Linear Complexity Non-local Layers with Polynomials0
Stateless actor-critic for instance segmentation with high-level priors0
On Model Calibration for Long-Tailed Object Detection and Instance SegmentationCode1
What Makes for Hierarchical Vision Transformer?0
CBNet: A Composite Backbone Network Architecture for Object DetectionCode1
Focal Self-attention for Local-Global Interactions in Vision TransformersCode1
Simple Training Strategies and Model Scaling for Object Detection0
SOLO: A Simple Framework for Instance Segmentation0
False Negative Reduction in Video Instance Segmentation using Uncertainty EstimatesCode0
K-Net: Towards Unified Image SegmentationCode1
Indoor Panorama Planar 3D Reconstruction via Divide and ConquerCode1
Descriptive Modeling of Textiles using FE Simulations and Deep Learning0
All You Need is a Second Look: Towards Arbitrary-Shaped Text Detection0
Real-time Instance Segmentation with Discriminative Orientation MapsCode1
P2T: Pyramid Pooling Transformer for Scene UnderstandingCode1
Tracking Instances as QueriesCode1
VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning0
SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving0
A2-FPN: Attention Aggregation Based Feature Pyramid Network for Instance Segmentation0
LPSNet: A Lightweight Solution for Fast Panoptic Segmentation0
Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation0
ColorRL: Reinforced Coloring for End-to-End Instance Segmentation0
Hierarchical Lovasz Embeddings for Proposal-Free Panoptic Segmentation0
MSN: Efficient Online Mask Selection Network for Video Instance SegmentationCode0
A Coarse-to-Fine Instance Segmentation Network with Learning Boundary Representation0
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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