SOTAVerified

Object Localization

Object Localization is the task of locating an instance of a particular object category in an image, typically by specifying a tightly cropped bounding box centered on the instance. An object proposal specifies a candidate bounding box, and an object proposal is said to be a correct localization if it sufficiently overlaps a human-labeled “ground-truth” bounding box for the given object. In the literature, the “Object Localization” task is to locate one instance of an object category, whereas “object detection” focuses on locating all instances of a category in a given image.

Source: Fast On-Line Kernel Density Estimation for Active Object Localization

Papers

Showing 2650 of 617 papers

TitleStatusHype
Agent Journey Beyond RGB: Unveiling Hybrid Semantic-Spatial Environmental Representations for Vision-and-Language NavigationCode1
RSUniVLM: A Unified Vision Language Model for Remote Sensing via Granularity-oriented Mixture of ExpertsCode1
OCDet: Object Center Detection via Bounding Box-Aware Heatmap Prediction on Edge Devices with NPUsCode1
Upsampling DINOv2 features for unsupervised vision tasks and weakly supervised materials segmentationCode1
PuzzleBoard: A New Camera Calibration Pattern with Position EncodingCode1
MambaEVT: Event Stream based Visual Object Tracking using State Space ModelCode1
Global-Local Collaborative Inference with LLM for Lidar-Based Open-Vocabulary DetectionCode1
Deep Learning Innovations for Underwater Waste Detection: An In-Depth AnalysisCode1
FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite ImageryCode1
IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language ModelsCode1
Few-shot Object LocalizationCode1
CAM Back Again: Large Kernel CNNs from a Weakly Supervised Object Localization PerspectiveCode1
Spatial Structure Constraints for Weakly Supervised Semantic SegmentationCode1
Dual Attention U-Net with Feature Infusion: Pushing the Boundaries of Multiclass Defect SegmentationCode1
Object-Aware Domain Generalization for Object DetectionCode1
Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask GuidanceCode1
Exploring Foveation and Saccade for Improved Weakly-Supervised LocalizationCode1
Mono3DVG: 3D Visual Grounding in Monocular ImagesCode1
Boosting Segment Anything Model Towards Open-Vocabulary LearningCode1
BEVNeXt: Reviving Dense BEV Frameworks for 3D Object DetectionCode1
Grounding Everything: Emerging Localization Properties in Vision-Language TransformersCode1
Language Embedded 3D Gaussians for Open-Vocabulary Scene UnderstandingCode1
Point, Segment and Count: A Generalized Framework for Object CountingCode1
Unsupervised Object Localization in the Era of Self-Supervised ViTs: A SurveyCode1
Context-Aware Entity Grounding with Open-Vocabulary 3D Scene GraphsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OSMaNRGSPL32.99Unverified
2SUSARGSPL27.31Unverified
3ShanksRGSPL22.85Unverified
4CVPR22RGSPL22.06Unverified
5damm1RGSPL15.96Unverified
61637RGSPL14.03Unverified
7init. PREVALENTRGSPL13.51Unverified
8AirbertRGSPL13.28Unverified
9init. OSCARRGSPL10Unverified
10SIARGSPL9.2Unverified
#ModelMetricClaimedVerifiedStatus
1VoxelNetAP89.35Unverified
2VoxelNetAP89.35Unverified
3Frustum PointNetsAP88.7Unverified
4Frustum PointNetsAP81.2Unverified
5VoxelNetAP77.47Unverified
#ModelMetricClaimedVerifiedStatus
1Frustrum-PointPillarsAP48.3Unverified
2Frustum PointNetsAP47.2Unverified
3Frustum PointNetsAP40.23Unverified
4VoxelNetAP38.11Unverified
5VoxelNetAP31.51Unverified
#ModelMetricClaimedVerifiedStatus
1Frustrum-PointPillarsAP52.23Unverified
2Frustum PointNetsAP50.22Unverified
3Frustum PointNetsAP42.15Unverified
4VoxelNetAP40.74Unverified
5VoxelNetAP33.69Unverified
#ModelMetricClaimedVerifiedStatus
1VoxelNetAP77.39Unverified
2Frustum PointNetsAP75.33Unverified
3Frustum PointNetsAP62.19Unverified
4VoxelNetAP57.73Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP75.38Unverified
2Frustum PointNetsAP71.96Unverified
3VoxelNetAP66.7Unverified
4VoxelNetAP61.22Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP61.96Unverified
2Frustum PointNetsAP56.77Unverified
3VoxelNetAP54.76Unverified
4VoxelNetAP48.36Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP58.09Unverified
2Frustum PointNetsAP51.21Unverified
3VoxelNetAP46.13Unverified
4VoxelNetAP39.48Unverified
#ModelMetricClaimedVerifiedStatus
1Unified-IOXLLocalization (ablation)67Unverified
2GPV-2Localization (ablation)53.6Unverified
3Mask R-CNNLocalization (ablation)44.7Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP54.68Unverified
2VoxelNeAP50.55Unverified
3Frustum PointNetsAP50.39Unverified
#ModelMetricClaimedVerifiedStatus
1GPT4-Vision 4-shot+CoTAccuracy49.7Unverified
2Gemini-Pro 4-shot+CoTAccuracy33.9Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP84Unverified
2VoxelNetAP79.26Unverified
#ModelMetricClaimedVerifiedStatus
1Frustrum-PointPillarsAP60.98Unverified
#ModelMetricClaimedVerifiedStatus
1Hausdorff LossPrecision88.1Unverified
#ModelMetricClaimedVerifiedStatus
1oursCorLoc41.2Unverified
#ModelMetricClaimedVerifiedStatus
1oursCorLoc47.45Unverified
#ModelMetricClaimedVerifiedStatus
1Hausdorff LossF-Score88.6Unverified
#ModelMetricClaimedVerifiedStatus
1Hausdorff LossRecall89.2Unverified