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 2101–2150 of 2262 papers

TitleStatusHype
Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning—0
Lebanon Solar Rooftop Potential Assessment using Buildings Segmentation from Aerial Images—0
SOLO: A Simple Framework for Instance Segmentation—0
Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework with Spatio-Temporal Collaboration—0
SOS: Segment Object System for Open-World Instance Segmentation With Object Priors—0
SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning—0
Spatial Attention Pyramid Network for Unsupervised Domain Adaptation—0
Spatial Sampling Network for Fast Scene Understanding—0
Spatio-temporal Human Action Localisation and Instance Segmentation in Temporally Untrimmed Videos—0
SpectFormer: Frequency and Attention is what you need in a Vision Transformer—0
Spot-Compose: A Framework for Open-Vocabulary Object Retrieval and Drawer Manipulation in Point Clouds—0
SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds—0
StandardSim: A Synthetic Dataset For Retail Environments—0
Stateless actor-critic for instance segmentation with high-level priors—0
Static Segmentation by Tracking: A Frustratingly Label-Efficient Approach to Fine-Grained Segmentation—0
STC: Spatio-Temporal Contrastive Learning for Video Instance Segmentation—0
STEAM: Squeeze and Transform Enhanced Attention Module—0
Streaming Object Detection on Fisheye Cameras for Automatic Parking—0
Structured Model Pruning for Efficient Inference in Computational Pathology—0
Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform—0
SUDS: Scalable Urban Dynamic Scenes—0
SUGAR: Pre-training 3D Visual Representations for Robotics—0
SUNet: Scale-aware Unified Network for Panoptic Segmentation—0
supervised adptive threshold network for instance segmentation—0
SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark—0
Symmetric masking strategy enhances the performance of Masked Image Modeling—0
Syn-Mediverse: A Multimodal Synthetic Dataset for Intelligent Scene Understanding of Healthcare Facilities—0
UDA4Inst: Unsupervised Domain Adaptation for Instance Segmentation—0
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency—0
Tag-Based Attention Guided Bottom-Up Approach for Video Instance Segmentation—0
TA-Net: Topology-Aware Network for Gland Segmentation—0
Task-Specific Data Augmentation and Inference Processing for VIPriors Instance Segmentation Challenge—0
Team PFDet's Methods for Open Images Challenge 2019—0
Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Anthropic Prior Knowledge—0
Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Multi-Scale Aggregation and Anthropic Prior Knowledge—0
Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs—0
Temporal Prediction and Evaluation of Brassica Growth in the Field using Conditional Generative Adversarial Networks—0
Temporal RoI Align for Video Object Recognition—0
TESA: Tensor Element Self-Attention via Matricization—0
Test-time Adaptation vs. Training-time Generalization: A Case Study in Human Instance Segmentation using Keypoints Estimation—0
TextMountain: Accurate Scene Text Detection via Instance Segmentation—0
The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation—0
The Devil is in the Boundary: Exploiting Boundary Representation for Basis-based Instance Segmentation—0
Scaling up Multi-domain Semantic Segmentation with Sentence Embeddings—0
The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes—0
The MIS Check-Dam Dataset for Object Detection and Instance Segmentation Tasks—0
The ParallelEye Dataset: Constructing Large-Scale Artificial Scenes for Traffic Vision Research—0
The RaspGrade Dataset: Towards Automatic Raspberry Ripeness Grading with Deep Learning—0
The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics—0
The Runner-up Solution for YouTube-VIS Long Video Challenge 2022—0
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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