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

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Showing 451–500 of 617 papers

TitleStatusHype
ObjectRelator: Enabling Cross-View Object Relation Understanding in Ego-Centric and Exo-Centric Videos—0
Occlusion-Aware Object Localization, Segmentation and Pose Estimation—0
Weakly-supervised Salient Instance Detection—0
Offset Bin Classification Network for Accurate Object Detection—0
Active Object Localization in Visual Situations—0
Zero-Aliasing Correlation Filters for Object Recognition—0
One-Shot Object Localization Using Learnt Visual Cues via Siamese Networks—0
One Size Doesn't Fit All: Adaptive Label Smoothing—0
Weakly supervised training of deep convolutional neural networks for overhead pedestrian localization in depth fields—0
Webly Supervised Concept Expansion for General Purpose Vision Models—0
Open-Vocabulary Object Detection via Scene Graph Discovery—0
ZeroReg: Zero-Shot Point Cloud Registration with Foundation Models—0
Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels—0
Optimal Weight Scheme for Fusion-Assisted Cooperative Multi-Monostatic Object Localization in 6G Networks—0
Optimizing Multi-Task Learning for Accurate Spacecraft Pose Estimation—0
Oriented Feature Alignment for Fine-grained Object Recognition in High-Resolution Satellite Imagery—0
P2P-Loc: Point to Point Tiny Person Localization—0
Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference—0
Parity Models: A General Framework for Coding-Based Resilience in ML Inference—0
Particle filter re-detection for visual tracking via correlation filters—0
Parts-Based Articulated Object Localization in Clutter Using Belief Propagation—0
PBRnet: Pyramidal Bounding Box Refinement to Improve Object Localization Accuracy—0
Photorealistic Image Synthesis for Object Instance Detection—0
Plenoptic Monte Carlo Object Localization for Robot Grasping under Layered Translucency—0
PMR-Net: Parallel Multi-Resolution Encoder-Decoder Network Framework for Medical Image Segmentation—0
POEM: Precise Object-level Editing via MLLM control—0
PointArena: Probing Multimodal Grounding Through Language-Guided Pointing—0
Point Cloud Registration-Driven Robust Feature Matching for 3D Siamese Object Tracking—0
Point-DETR3D: Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection—0
Video Instance Segmentation by Instance Flow Assembly—0
3D Spatial Understanding in MLLMs: Disambiguation and Evaluation—0
Polyp-artifact relationship analysis using graph inductive learned representations—0
Practical, Fast and Robust Point Cloud Registration for 3D Scene Stitching and Object Localization—0
Prediction Accuracy & Reliability: Classification and Object Localization under Distribution Shift—0
3D Object Localization Using 2D Estimates for Computer Vision Applications—0
Pro2SAM: Mask Prompt to SAM with Grid Points for Weakly Supervised Object Localization—0
Probing the Mid-level Vision Capabilities of Self-Supervised Learning—0
Probing the Role of Positional Information in Vision-Language Models—0
Probing the Role of Positional Information in Vision-Language Models—0
Video OWL-ViT: Temporally-consistent open-world localization in video—0
Generalized Coarse-to-Fine Visual Recognition with Progressive Training—0
Vision-based Real-Time Aerial Object Localization and Tracking for UAV Sensing System—0
Query-guided Attention in Vision Transformers for Localizing Objects Using a Single Sketch—0
RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base—0
R-AGNO-RPN: A LIDAR-Camera Region Deep Network for Resolution-Agnostic Detection—0
Rapid Training Data Creation by Synthesizing Medical Images for Classification and Localization—0
Real-time Full-stack Traffic Scene Perception for Autonomous Driving with Roadside Cameras—0
Real-world Instance-specific Image Goal Navigation: Bridging Domain Gaps via Contrastive Learning—0
Evaluating and Enhancing Trustworthiness of LLMs in Perception Tasks—0
Visual-Linguistic Agent: Towards Collaborative Contextual Object Reasoning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OSMaNRGSPL32.99—Unverified
2SUSARGSPL27.31—Unverified
3ShanksRGSPL22.85—Unverified
4CVPR22RGSPL22.06—Unverified
5damm1RGSPL15.96—Unverified
61637RGSPL14.03—Unverified
7init. PREVALENTRGSPL13.51—Unverified
8AirbertRGSPL13.28—Unverified
9init. OSCARRGSPL10—Unverified
10SIARGSPL9.2—Unverified
#ModelMetricClaimedVerifiedStatus
1VoxelNetAP89.35—Unverified
2VoxelNetAP89.35—Unverified
3Frustum PointNetsAP88.7—Unverified
4Frustum PointNetsAP81.2—Unverified
5VoxelNetAP77.47—Unverified
#ModelMetricClaimedVerifiedStatus
1Frustrum-PointPillarsAP48.3—Unverified
2Frustum PointNetsAP47.2—Unverified
3Frustum PointNetsAP40.23—Unverified
4VoxelNetAP38.11—Unverified
5VoxelNetAP31.51—Unverified
#ModelMetricClaimedVerifiedStatus
1Frustrum-PointPillarsAP52.23—Unverified
2Frustum PointNetsAP50.22—Unverified
3Frustum PointNetsAP42.15—Unverified
4VoxelNetAP40.74—Unverified
5VoxelNetAP33.69—Unverified
#ModelMetricClaimedVerifiedStatus
1VoxelNetAP77.39—Unverified
2Frustum PointNetsAP75.33—Unverified
3Frustum PointNetsAP62.19—Unverified
4VoxelNetAP57.73—Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP75.38—Unverified
2Frustum PointNetsAP71.96—Unverified
3VoxelNetAP66.7—Unverified
4VoxelNetAP61.22—Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP61.96—Unverified
2Frustum PointNetsAP56.77—Unverified
3VoxelNetAP54.76—Unverified
4VoxelNetAP48.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP58.09—Unverified
2Frustum PointNetsAP51.21—Unverified
3VoxelNetAP46.13—Unverified
4VoxelNetAP39.48—Unverified
#ModelMetricClaimedVerifiedStatus
1Unified-IOXLLocalization (ablation)67—Unverified
2GPV-2Localization (ablation)53.6—Unverified
3Mask R-CNNLocalization (ablation)44.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP54.68—Unverified
2VoxelNeAP50.55—Unverified
3Frustum PointNetsAP50.39—Unverified
#ModelMetricClaimedVerifiedStatus
1GPT4-Vision 4-shot+CoTAccuracy49.7—Unverified
2Gemini-Pro 4-shot+CoTAccuracy33.9—Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP84—Unverified
2VoxelNetAP79.26—Unverified
#ModelMetricClaimedVerifiedStatus
1Frustrum-PointPillarsAP60.98—Unverified
#ModelMetricClaimedVerifiedStatus
1Hausdorff LossPrecision88.1—Unverified
#ModelMetricClaimedVerifiedStatus
1oursCorLoc41.2—Unverified
#ModelMetricClaimedVerifiedStatus
1oursCorLoc47.45—Unverified
#ModelMetricClaimedVerifiedStatus
1Hausdorff LossF-Score88.6—Unverified
#ModelMetricClaimedVerifiedStatus
1Hausdorff LossRecall89.2—Unverified