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 16261650 of 2262 papers

TitleStatusHype
Robust 2D/3D Vehicle Parsing in Arbitrary Camera Views for CVISCode0
Aggregation With Feature Detection0
PrimitiveNet: Primitive Instance Segmentation With Local Primitive Embedding Under Adversarial MetricCode1
Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation0
X-World: Accessibility, Vision, and Autonomy Meet0
AggMask: Exploring locally aggregated learning of mask representations for instance segmentationCode1
Learning a unified label space0
EMPIRICAL UPPER BOUND IN OBJECT DETECTION0
Contextual Graph Reasoning Networks0
Inception Convolution with Efficient Dilation SearchCode1
Instance Segmentation of Industrial Point Cloud Data0
Global Context NetworksCode2
SWA Object DetectionCode1
FcaNet: Frequency Channel Attention NetworksCode1
YolactEdge: Real-time Instance Segmentation on the EdgeCode2
Multiple Instance Segmentation in Brachial Plexus Ultrasound Image Using BPMSegNet0
SCNet: Training Inference Sample Consistency for Instance SegmentationCode1
A Holistically-Guided Decoder for Deep Representation Learning with Applications to Semantic Segmentation and Object Detection0
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene ContextsCode1
REFINE: Prediction Fusion Network for Panoptic Segmentation0
Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object DetectionCode1
Fine-Grained Vehicle Perception via 3D Part-Guided Visual Data AugmentationCode1
DeepGamble: Towards unlocking real-time player intelligence using multi-layer instance segmentation and attribute detection0
Improving Video Instance Segmentation by Light-weight Temporal Uncertainty EstimatesCode0
Simple Copy-Paste is a Strong Data Augmentation Method for 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