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 251–300 of 617 papers

TitleStatusHype
IDD-X: A Multi-View Dataset for Ego-relative Important Object Localization and Explanation in Dense and Unstructured TrafficCode0
O2V-Mapping: Online Open-Vocabulary Mapping with Neural Implicit Representation—0
MOSE: Boosting Vision-based Roadside 3D Object Detection with Scene Cues—0
Towards Two-Stream Foveation-based Active Vision Learning—0
Spatio-Temporal Bi-directional Cross-frame Memory for Distractor Filtering Point Cloud Single Object Tracking—0
Point-DETR3D: Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection—0
Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting—0
EcoSense: Energy-Efficient Intelligent Sensing for In-Shore Ship Detection through Edge-Cloud Collaboration—0
Could We Generate Cytology Images from Histopathology Images? An Empirical Study—0
Weakly Supervised Monocular 3D Detection with a Single-View Image—0
Foveated Retinotopy Improves Classification and Localization in CNNs—0
Toward Accurate Camera-based 3D Object Detection via Cascade Depth Estimation and Calibration—0
Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation dataCode0
CPR++: Object Localization via Single Coarse Point SupervisionCode0
MsSVT++: Mixed-scale Sparse Voxel Transformer with Center Voting for 3D Object Detection—0
Domain Adaptation for Large-Vocabulary Object Detectors—0
GTA: Guided Transfer of Spatial Attention from Object-Centric Representations—0
Cyclic Learning for Binaural Audio Generation and Localization—0
FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection—0
Weakly Supervised Open-Vocabulary Object Detection—0
Multiscale Vision Transformer With Deep Clustering-Guided Refinement for Weakly Supervised Object Localization—0
ZeroReg: Zero-Shot Point Cloud Registration with Foundation Models—0
SANeRF-HQ: Segment Anything for NeRF in High Quality—0
Union-over-Intersections: Object Detection beyond Winner-Takes-AllCode0
Seeing Beyond Cancer: Multi-Institutional Validation of Object Localization and 3D Semantic Segmentation using Deep Learning for Breast MRI—0
Cooperative Multi-Monostatic Sensing for Object Localization in 6G Networks—0
DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection—0
Towards Learning Monocular 3D Object Localization From 2D Labels using the Physical Laws of MotionCode0
Object Pose Estimation Annotation Pipeline for Multi-view Monocular Camera Systems in Industrial Settings—0
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement—0
DiPS: Discriminative Pseudo-Label Sampling with Self-Supervised Transformers for Weakly Supervised Object LocalizationCode0
Memory-efficient particle filter recurrent neural network for object localization—0
Learning to Terminate in Object NavigationCode0
DeepAdaIn-Net: Deep Adaptive Device-Edge Collaborative Inference for Augmented Reality—0
SEMPART: Self-supervised Multi-resolution Partitioning of Image Semantics—0
ALWOD: Active Learning for Weakly-Supervised Object DetectionCode0
HiLM-D: Towards High-Resolution Understanding in Multimodal Large Language Models for Autonomous Driving—0
Unsupervised Object Localization with Representer Point SelectionCode0
Four Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding—0
BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised ApplicationsCode0
Semantic-Constraint Matching Transformer for Weakly Supervised Object Localization—0
I3DOD: Towards Incremental 3D Object Detection via Prompting—0
Video OWL-ViT: Temporally-consistent open-world localization in video—0
Towards Grounded Visual Spatial Reasoning in Multi-Modal Vision Language Models—0
Leveraging Next-Active Objects for Context-Aware Anticipation in Egocentric Videos—0
Rethinking the Localization in Weakly Supervised Object Localization—0
Rapid Training Data Creation by Synthesizing Medical Images for Classification and Localization—0
All-pairs Consistency Learning for Weakly Supervised Semantic SegmentationCode0
A Memory-Augmented Multi-Task Collaborative Framework for Unsupervised Traffic Accident Detection in Driving Videos—0
MPDIoU: A Loss for Efficient and Accurate Bounding Box Regression—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