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

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Showing 1701–1750 of 2262 papers

TitleStatusHype
Tensor Pooling Driven Instance Segmentation Framework for Baggage Threat RecognitionCode0
Palmira: A Deep Deformable Network for Instance Segmentation of Dense and Uneven Layouts in Handwritten ManuscriptsCode0
UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships through the Lens of Adversarial AttacksCode0
AI-based thermal bridge detection of building rooftops on district scale using aerial images—0
Semantic Segmentation and Object Detection Towards Instance Segmentation: Breast Tumor Identification—0
A Low Rank Promoting Prior for Unsupervised Contrastive Learning—0
Improved-Mask R-CNN: Towards an Accurate Generic MSK MRI instance segmentation platform (Data from the Osteoarthritis Initiative)—0
Continental-Scale Building Detection from High Resolution Satellite Imagery—0
Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images—0
Instance Segmentation of Multiple Myeloma Cells via Hybrid Task Cascade—0
Exploring Set Similarity for Dense Self-supervised Representation Learning—0
Unsupervised Anomaly Instance Segmentation for Baggage Threat RecognitionCode0
MeNToS: Tracklets Association with a Space-Time Memory Network—0
Amodal segmentation just like doing a jigsaw—0
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical RegionsCode0
SE-PSNet: Silhouette-based Enhancement Feature for Panoptic Segmentation Network—0
Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation—0
Learning Stixel-based Instance Segmentation—0
HIDA: Towards Holistic Indoor Understanding for the Visually Impaired via Semantic Instance Segmentation with a Wearable Solid-State LiDAR Sensor—0
Stateless actor-critic for instance segmentation with high-level priors—0
Poly-NL: Linear Complexity Non-local Layers with Polynomials—0
What Makes for Hierarchical Vision Transformer?—0
SOLO: A Simple Framework for Instance Segmentation—0
Simple Training Strategies and Model Scaling for Object Detection—0
False Negative Reduction in Video Instance Segmentation using Uncertainty EstimatesCode0
Descriptive Modeling of Textiles using FE Simulations and Deep Learning—0
All You Need is a Second Look: Towards Arbitrary-Shaped Text Detection—0
VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning—0
SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving—0
ColorRL: Reinforced Coloring for End-to-End Instance Segmentation—0
A2-FPN: Attention Aggregation Based Feature Pyramid Network for Instance Segmentation—0
Hierarchical Lovasz Embeddings for Proposal-Free Panoptic Segmentation—0
LPSNet: A Lightweight Solution for Fast Panoptic Segmentation—0
Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation—0
MSN: Efficient Online Mask Selection Network for Video Instance SegmentationCode0
A Coarse-to-Fine Instance Segmentation Network with Learning Boundary Representation—0
How can we learn (more) from challenges? A statistical approach to driving future algorithm development—0
A Spacecraft Dataset for Detection, Segmentation and Parts RecognitionCode0
DMSANet: Dual Multi Scale Attention Network—0
Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy ImagesCode0
Hierarchical Lovász Embeddings for Proposal-free Panoptic Segmentation—0
supervised adptive threshold network for instance segmentation—0
ContourRender: Detecting Arbitrary Contour Shape For Instance Segmentation In One Pass—0
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video DecompositionCode0
Contextual Guided Segmentation Framework for Semi-supervised Video Instance Segmentation—0
X-volution: On the unification of convolution and self-attention—0
Dual-stream Network for Visual Recognition—0
Embedded Vision for Self-Driving on Forest Roads—0
ICDAR 2021 Competition on Historical Map SegmentationCode0
Reinforcement learning for instance segmentation with high-level priors—0
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All datasetsCOCO test-devCOCO minivalLVIS v1.0 valCityscapes valADE20K valARMBenchOccluded COCOOoDISSeparated COCOTBBRBDD100K valCOCO val (panoptic labels)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-HAP5080.8—Unverified
2ResNeSt-200 (multi-scale)AP5070.2—Unverified
3CenterMask + VoVNetV2-99 (multi-scale)AP5066.2—Unverified
4CenterMask + VoVNetV2-57 (single-scale)AP5060.8—Unverified
5Co-DETRmask AP57.1—Unverified
6CBNetV2 (EVA02, single-scale)mask AP56.1—Unverified
7ISDA (ResNet-50)APL55.7—Unverified
8EVAmask AP55.5—Unverified
9FD-SwinV2-Gmask AP55.4—Unverified
10Mask Frozen-DETRmask AP55.3—Unverified
#ModelMetricClaimedVerifiedStatus
1InternImage-BGFLOPs501—Unverified
2Co-DETRmask AP56.6—Unverified
3ViT-CoMer-L (Mask RCNN, DINOv2)mask AP55.9—Unverified
4InternImage-Hmask AP55.4—Unverified
5EVAmask AP55—Unverified
6Mask Frozen-DETRmask AP54.9—Unverified
7MasK DINO (SwinL, multi-scale)mask AP54.5—Unverified
8ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2—Unverified
9GLEE-Promask AP54.2—Unverified
10SwinV2-G (HTC++)mask AP53.7—Unverified