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 751775 of 2262 papers

TitleStatusHype
Improving the Detection of Small Oriented Objects in Aerial ImagesCode1
All in Tokens: Unifying Output Space of Visual Tasks via Soft TokenCode1
Improving Video Instance Segmentation via Temporal Pyramid RoutingCode1
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and trackingCode1
Improving Convolutional Networks With Self-Calibrated ConvolutionsCode1
RoboLLM: Robotic Vision Tasks Grounded on Multimodal Large Language ModelsCode1
MViTv2: Improved Multiscale Vision Transformers for Classification and DetectionCode1
Robust Instance Segmentation through Reasoning about Multi-Object OcclusionCode1
Improving Mask R-CNN for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological ImagesCode1
Decoupling Classifier for Boosting Few-shot Object Detection and Instance SegmentationCode1
CHEX: CHannel EXploration for CNN Model CompressionCode1
FcaNet: Frequency Channel Attention NetworksCode1
CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic SurgeryCode1
Salient Object Ranking with Position-Preserved AttentionCode1
FipTR: A Simple yet Effective Transformer Framework for Future Instance Prediction in Autonomous DrivingCode1
Implicit Feature Refinement for Instance SegmentationCode1
Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss FunctionCode1
Indoor Panorama Planar 3D Reconstruction via Divide and ConquerCode1
DCT-Mask: Discrete Cosine Transform Mask Representation for Instance SegmentationCode1
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular CamerasCode1
CISCA and CytoDArk0: a Cell Instance Segmentation and Classification method for histo(patho)logical image Analyses and a new, open, Nissl-stained dataset for brain cytoarchitecture studiesCode1
Guided Distillation for Semi-Supervised Instance SegmentationCode1
A Weakly Supervised Amodal Segmenter with Boundary Uncertainty EstimationCode1
FinnWoodlands DatasetCode1
1st Place Solution for the 5th LSVOS Challenge: Video Instance SegmentationCode1
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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